id stringlengths 7 11 | source stringclasses 1
value | category stringclasses 11
values | title stringlengths 15 214 | text stringlengths 70 30.5k | url stringlengths 57 160 | tags stringlengths 3 113 | created_at int64 1.22B 1.79B |
|---|---|---|---|---|---|---|---|
se_78306632 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to deploy a Flask app in Vercel, so that I can use it as an API endpoint | How to deploy a Flask app in Vercel, so that I can use it as an API endpoint
Error: The provided path “~/Desktop/deploy/app.py” is a file, but expected a directory. Please choose a different one.
? In which directory is your code located? ./
🔗 Linked to my-projects/deploy (created .vercel)
🔍 Inspect: https://verce... | https://stackoverflow.com/questions/78306632/how-to-deploy-a-flask-app-in-vercel-so-that-i-can-use-it-as-an-api-endpoint | python, flask, deployment, vercel, large-language-model | 1,712,776,262 |
se_78555060 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Azure OpenAI error Error code: 400 - {'statusCode': 400, 'message': "Unable to parse and estimate tokens from incoming request | Azure OpenAI error Error code: 400 - {'statusCode': 400, 'message': "Unable to parse and estimate tokens from incoming request
I used this API a lot in the last few days, and today it's not working, and I don't know what's wrong:
prompt = """some complex prompt (just text
"""
response = client.cha... | https://stackoverflow.com/questions/78555060/azure-openai-error-error-code-400-statuscode-400-message-unable-to-p | python, chatbot, openai-api, large-language-model, azure-openai | 1,717,073,146 |
se_78570890 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Using Llama_index with Mistral Model | Using Llama_index with Mistral Model
I'm new to the field of large language models (LLMs), so I apologize if my explanation isn't clear.
I have a Mistral model running in a private cloud, and I have both the URL and the model name.
URL = " http://mistral...../v1/chat/completions"
Model = "Mistral-7B-Instruct-v0.2/"
I ... | https://stackoverflow.com/questions/78570890/using-llama-index-with-mistral-model | large-language-model, llama-index, ollama, mistral-7b | 1,717,424,621 |
se_77999424 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Trying to deploy ollama to google cloud run | Trying to deploy ollama to google cloud run
I am trying to deploy ollama docker image with preinstalled models to google cloud run
FROM ollama/ollama:latest
RUN /bin/sh -c "/bin/ollama serve & sleep 1 && ollama pull phi"
ENTRYPOINT ["/bin/ollama"]
CMD ["serve"]
it works fine in when i pull and run it in localhost ... | https://stackoverflow.com/questions/77999424/trying-to-deploy-ollama-to-google-cloud-run | docker, google-cloud-platform, google-cloud-run, large-language-model, ollama | 1,707,987,219 |
se_78530745 | stackoverflow | ARTIFICIAL_INTELLIGENCE | langchain RetrievalQA error: ValueError: Missing some input keys: {'query'} | langchain RetrievalQA error: ValueError: Missing some input keys: {'query'}
In a RAG project, I am using langchain. When I run the QA chain with query input, this error keep showing up:
----> result = qa_chain({'query': question})
ValueError: Missing some input keys: {'query'}
Here is my code:
from langchain.... | https://stackoverflow.com/questions/78530745/langchain-retrievalqa-error-valueerror-missing-some-input-keys-query | python, machine-learning, langchain, large-language-model, retrievalqa | 1,716,585,829 |
se_78559525 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Retriever using LLM - capture context data | Retriever using LLM - capture context data
This is the code shown below for getting response from RAG LLM.
def response_llm(prompt, text1, text2, int1, int2):
if len(text1)>1:
prompt = prompt + "\n text1: " + text1
if len(text2) > 1:
prompt = prompt + "\n text2: " + text2
docs = retriever.get_re... | https://stackoverflow.com/questions/78559525/retriever-using-llm-capture-context-data | large-language-model, retrieval-augmented-generation | 1,717,150,771 |
se_78561532 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Open Source LLM Repeating Tokens Until Max Tokens Reached - How to Fix? | Open Source LLM Repeating Tokens Until Max Tokens Reached - How to Fix?
I'm working with an open-source language model (LLM) for generating text in Portuguese, and I'm encountering an issue where the model keeps repeating tokens until the maximum number of tokens is reached. Here's a snippet of my code:
# Import neces... | https://stackoverflow.com/questions/78561532/open-source-llm-repeating-tokens-until-max-tokens-reached-how-to-fix | python, huggingface-transformers, tokenize, large-language-model, mistral-7b | 1,717,178,061 |
se_78514771 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Using the llama3 new template | Using the llama3 new template
This is the current template that works for the other llms i am using. However I want to get this system working with a llama3.
# Prompt
template = """Based on the table schema below, write a SQLite query that would answer the user's question:
{schema}
Question: {question}
SQL Query:"""... | https://stackoverflow.com/questions/78514771/using-the-llama3-new-template | prompt, langchain, large-language-model, llama, ollama | 1,716,334,358 |
se_78564699 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Why is LlamaCPP freezing during inference? | Why is LlamaCPP freezing during inference?
I'm using the following code to try and recieve a response from LlamaCPP, used through the LlamaIndex library. My model is stored locally in a gguf file. I'm trying to do inference on the CPU as my VRAM is limited. My program prints out the initialization code (also pasted be... | https://stackoverflow.com/questions/78564699/why-is-llamacpp-freezing-during-inference | python, artificial-intelligence, large-language-model, llama-index, llamacpp | 1,717,268,888 |
se_78562336 | stackoverflow | ARTIFICIAL_INTELLIGENCE | ScoredVector has no attribute 'metadata' at ['['received_data', 'matches', 0]']['metadata'] | ScoredVector has no attribute 'metadata' at ['['received_data', 'matches', 0]']['metadata']
I'm building a chatbot RAG using HuggingFace, Mistral, LangChain and Pinecone.
I have a Python Script to watch changes in my MongoDB collection and send the data to Pinecone as a vector.
... | https://stackoverflow.com/questions/78562336/scoredvector-has-no-attribute-metadata-at-received-data-matches-0 | python, langchain, large-language-model, pinecone | 1,717,194,702 |
se_77930819 | stackoverflow | ARTIFICIAL_INTELLIGENCE | VertexAIException - list index out of range Error when calling Gemini-Pro API | VertexAIException - list index out of range Error when calling Gemini-Pro API
I am calling Google Gemini-Pro API in a consecutive manner (like about 50 queries per minute). I believe I have properly set my VertexAI project and credentials. When the number of consecutive queries I used was below a constant bar, the que... | https://stackoverflow.com/questions/77930819/vertexaiexception-list-index-out-of-range-error-when-calling-gemini-pro-api | machine-learning, large-language-model, google-cloud-vertex-ai, quota, google-gemini | 1,706,933,138 |
se_78384255 | stackoverflow | ARTIFICIAL_INTELLIGENCE | What are the different python libraries to access Google LLMs? | What are the different python libraries to access Google LLMs?
I have come across multiple different libraries for accessing Google LLMs. I am listing the ones I came across; but there may be more.
The libraries that I have seen so far:
# 1
from langchain_google_genai import ChatGoogleGenerativeAI, GoogleGenerativeAI
... | https://stackoverflow.com/questions/78384255/what-are-the-different-python-libraries-to-access-google-llms | langchain, large-language-model, google-cloud-vertex-ai | 1,714,043,846 |
se_78410889 | stackoverflow | ARTIFICIAL_INTELLIGENCE | i'm having bitsandbytes error while using unsloth in conda | i'm having bitsandbytes error while using unsloth in conda
I'm trying to finetune llama3 model from Unsloth uding the code presented in one of there Colab notebooks, but I'm having several issues while running the code on my system.
Following is the error I'm having. I'm using a conda Virtual Enviornment
I'm follo... | https://stackoverflow.com/questions/78410889/im-having-bitsandbytes-error-while-using-unsloth-in-conda | python, nvidia, large-language-model, huggingface | 1,714,508,978 |
se_78560825 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Contextual chunking of PDF's content ,having a problem to replicate logic to nest headings and subheadings while parsing PDFs | Contextual chunking of PDF's content ,having a problem to replicate logic to nest headings and subheadings while parsing PDFs
def format(json_data):
"""
Extracts document title, headings, subheadings (if present), and content in a specific JSON format.
Args:
json_data: A dictionary containing ... | https://stackoverflow.com/questions/78560825/contextual-chunking-of-pdfs-content-having-a-problem-to-replicate-logic-to-nes | pdf, pdf-generation, google-docs-api, large-language-model, pdfplumber | 1,717,168,040 |
se_78559983 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Using Inputparameter for Parameterizing the LLM part of my Chain | Using Inputparameter for Parameterizing the LLM part of my Chain
I have a chain in Langchain and there are some input parameter:
input_text:str -> for the template
max_tokens:float -> for llm
how can i distribute these variables/parameters to the right part of chain?
I tried this:
prompt: PromptTemplate = PromptT... | https://stackoverflow.com/questions/78559983/using-inputparameter-for-parameterizing-the-llm-part-of-my-chain | python, langchain, large-language-model, chain | 1,717,157,724 |
se_78554118 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to deploy a finetuned model on a private server? | How to deploy a finetuned model on a private server?
I have a project where I need to fine-tune a Large Language Model (LLM) such as LLAMA3 for a specific task and then deploy it on the company's server as a chatbot to recommend 'questionnaires / surveys' based on studies described by the users.
As I am new to working... | https://stackoverflow.com/questions/78554118/how-to-deploy-a-finetuned-model-on-a-private-server | python, langchain, large-language-model, llamacpp | 1,717,061,718 |
se_78417714 | stackoverflow | ARTIFICIAL_INTELLIGENCE | ValidationError: 1 validation error for RetrievalQA retriever | ValidationError: 1 validation error for RetrievalQA retriever
I am using pinecone vector database for storing the veactors of the text chunks, then I am imlementing similarity search to get similar document after that I am loading my llm model and using the retrieveralQA chain I am trying to use "from langchain.chains... | https://stackoverflow.com/questions/78417714/validationerror-1-validation-error-for-retrievalqa-retriever | python, langchain, large-language-model, transformer-model, ctransformers | 1,714,637,103 |
se_78550266 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Pretrained Translation model(french to english) for food related data | Pretrained Translation model(french to english) for food related data
I am working on a project that involves mapping between two food-related datasets. One dataset is in French, and the other is in English. Both datasets have a "food name" field, but I am not fluent in French and would prefer not to use Google Transl... | https://stackoverflow.com/questions/78550266/pretrained-translation-modelfrench-to-english-for-food-related-data | nlp, translation, bert-language-model, large-language-model, french | 1,716,993,316 |
se_78383391 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Making an inference call to HuggingFace in Semantic Kernel causes 404 not found error | Making an inference call to HuggingFace in Semantic Kernel causes 404 not found error
I can make serverless inference API calls to the models hosted in HuggingFace using request calls in Python.
I want to achieve the same task using Semantic Kernel in C#.
For this purpose, I import Microsoft.SemanticKernel.Connectors.... | https://stackoverflow.com/questions/78383391/making-an-inference-call-to-huggingface-in-semantic-kernel-causes-404-not-found | large-language-model, huggingface, semantic-kernel | 1,714,035,028 |
se_78544049 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to use a finetuned LLM with langchain? | How to use a finetuned LLM with langchain?
I'm working on fine-tuning an LLM like LLAMA2 or LLAMA3 on a specific task which is recommendation of questionnaires depending on the purpose of the study and the data researchers want to collect.
How do I use Langchain on a fine-tuned model? I guess I can always upload it to... | https://stackoverflow.com/questions/78544049/how-to-use-a-finetuned-llm-with-langchain | python, langchain, large-language-model | 1,716,898,638 |
se_78545871 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Error list index out of range when trying to upsert on pinecone | Error list index out of range when trying to upsert on pinecone
I'm creating a chatbot RAG using the content from my MongoDB and sending to create vectors on Pinecone.
So my user can ask stuff to my chatbot about his reflections.
Here is my code:
import os
from pymongo import MongoClient
from pinecone import Pinecone,... | https://stackoverflow.com/questions/78545871/error-list-index-out-of-range-when-trying-to-upsert-on-pinecone | python, mongodb, large-language-model, upsert, pinecone | 1,716,921,360 |
se_78546567 | stackoverflow | ARTIFICIAL_INTELLIGENCE | LLM dataset tokenization issues for question answering fine tuning | LLM dataset tokenization issues for question answering fine tuning
I am using hugging face to fine tune a LLM for question answering. I am trying to figure out how to write a data preprocessing/tokenization function to use for this data set. I am using the nvidia/ChatQA-Training-Data dataset that can be found on huggi... | https://stackoverflow.com/questions/78546567/llm-dataset-tokenization-issues-for-question-answering-fine-tuning | huggingface-transformers, tokenize, large-language-model, huggingface-tokenizers, roberta-language-model | 1,716,933,241 |
se_78387056 | stackoverflow | ARTIFICIAL_INTELLIGENCE | LangChain with Llama3 Stuck at Entering new AgentExecutor chain | LangChain with Llama3 Stuck at Entering new AgentExecutor chain
I am trying to run a Pandas dataframe agent using ollama and llama3 but I am stuck at Entering new AgentExectur chain... . The ollama task is also continuously utilizing higher resources once the chain is entered.
llm=Ollama(model="llama3")
# Initializin... | https://stackoverflow.com/questions/78387056/langchain-with-llama3-stuck-at-entering-new-agentexecutor-chain | langchain, large-language-model, ollama | 1,714,076,041 |
se_78542606 | stackoverflow | ARTIFICIAL_INTELLIGENCE | LLM to convert binary to decimal | LLM to convert binary to decimal
So, I'm a complete beginner on how to use any LLMs, given below is the code which I was using on my jupyter notebook to run a prompt to convert binary to decimal. However I was getting completely incorrect responses on Llama 3.
!pip install -r requirements.txt
import json
import torch
... | https://stackoverflow.com/questions/78542606/llm-to-convert-binary-to-decimal | large-language-model | 1,716,882,281 |
se_78463402 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Streaming LLM output in Django | Streaming LLM output in Django
Im planning to develop Django framework for the LLM fine-tuned model based on HuggingFace models, I want the text to be streamed from model to the Django. My issue is that model streams the output in the terminal but not sure how to make it in a stream in a variable so that I can transfe... | https://stackoverflow.com/questions/78463402/streaming-llm-output-in-django | python, django, huggingface-transformers, large-language-model | 1,715,402,538 |
se_78533186 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Streamlit not taking more than one prompts for cohere model in OCI Generative AI | Streamlit not taking more than one prompts for cohere model in OCI Generative AI
I am trying to use Streamlit. The first prompt works, but when I pass the second or third prompt, it is throwing this error. It was working before but has started showing this error recently. I am not sure why there was a quota limit I sh... | https://stackoverflow.com/questions/78533186/streamlit-not-taking-more-than-one-prompts-for-cohere-model-in-oci-generative-ai | python, artificial-intelligence, streamlit, large-language-model, oracle-cloud-infrastructure | 1,716,657,430 |
se_78533668 | stackoverflow | ARTIFICIAL_INTELLIGENCE | TypeError: string indices must be integers when using FAISS for context in a chatbot | TypeError: string indices must be integers when using FAISS for context in a chatbot
Question:
I'm building a chatbot that incorporates a conversational retrieval system using Transformers and Gradio. The system retrieves context using FAISS for query context. However, I'm encountering an error that I can't seem to re... | https://stackoverflow.com/questions/78533668/typeerror-string-indices-must-be-integers-when-using-faiss-for-context-in-a-cha | python, chatbot, embedding, large-language-model, distilbert | 1,716,669,702 |
se_78529027 | stackoverflow | ARTIFICIAL_INTELLIGENCE | ValueError: expected sequence of length 32128 at dim 3 (got 512) | ValueError: expected sequence of length 32128 at dim 3 (got 512)
I tried to train the following model but I keep receiving the mentioned issue:
import pandas as pd
import torch
from transformers import T5ForConditionalGeneration, T5Tokenizer
from torch.utils.data import Dataset, DataLoader
from sklearn.model_selection... | https://stackoverflow.com/questions/78529027/valueerror-expected-sequence-of-length-32128-at-dim-3-got-512 | python, pytorch, huggingface-transformers, torch, large-language-model | 1,716,558,910 |
se_78523676 | stackoverflow | ARTIFICIAL_INTELLIGENCE | AttributeError: 'OpenAI' object has no attribute 'fine_tunes' | AttributeError: 'OpenAI' object has no attribute 'fine_tunes'
I work with Python in Jupyter Notebook 7.0.8 :
Here is the error generated by the following cell:
The error:
---------------------------------------------------------------------------
AttributeError Traceback (mos... | https://stackoverflow.com/questions/78523676/attributeerror-openai-object-has-no-attribute-fine-tunes | jupyter-notebook, openai-api, large-language-model, gpt-3, fine-tuning | 1,716,472,815 |
se_78525690 | stackoverflow | ARTIFICIAL_INTELLIGENCE | TypeError: 'DataLoader' object is not subscriptable T5 model | TypeError: 'DataLoader' object is not subscriptable T5 model
I'm trying to train my model using the following commands:
import numpy as np
import pandas as pd
import os
import pandas as pd
import tensorflow as tf
from transformers import AutoTokenizer, T5ForConditionalGeneration, T5Config
# IMPORT REQUIRED D... | https://stackoverflow.com/questions/78525690/typeerror-dataloader-object-is-not-subscriptable-t5-model | python, tensorflow, huggingface-transformers, torch, large-language-model | 1,716,500,597 |
se_78525221 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to efficiently chunk/embed json? (ollama, chromadb, gp4allembeddings/langchain) | How to efficiently chunk/embed json? (ollama, chromadb, gp4allembeddings/langchain)
I've been working on a simple chatbot, it responds to inquiries in intercom and in telegram. It makes a database of information to pull from based on current support articles in Intercom. It worked pretty well with 150 articles, but as... | https://stackoverflow.com/questions/78525221/how-to-efficiently-chunk-embed-json-ollama-chromadb-gp4allembeddings-langcha | python, artificial-intelligence, large-language-model, llama, ollama | 1,716,492,901 |
se_78523740 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Read Timeout When Using Llama3 Model on Streamlit | Read Timeout When Using Llama3 Model on Streamlit
This is my first time asking a question on Stack Overflow. I am trying to run a Llama3 model that queries a PDF file on Streamlit. It uses llama index to chunk up the text and create a vector for each chunk. When you type a query, it creates a vector embedding for the ... | https://stackoverflow.com/questions/78523740/read-timeout-when-using-llama3-model-on-streamlit | timeout, streamlit, large-language-model | 1,716,473,660 |
se_78345967 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Llama.cpp GPU Offloading Issue - Unexpected Switch to CPU | Llama.cpp GPU Offloading Issue - Unexpected Switch to CPU
I'm reaching out to the community for some assistance with an issue I'm encountering in llama.cpp. Previously, the program was successfully utilizing the GPU for execution. However, recently, it seems to have switched to CPU execution.
Observations:
BLAS=1 is s... | https://stackoverflow.com/questions/78345967/llama-cpp-gpu-offloading-issue-unexpected-switch-to-cpu | large-language-model, llama, llama-cpp-python, llamacpp | 1,713,428,817 |
se_78112934 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Getting "ValidationError: 1 validation error for VectorstoreIndexCreator embedding" | Getting "ValidationError: 1 validation error for VectorstoreIndexCreator embedding"
I am trying to build a pdf chat bot where you upload a pdf and ask questions related to you pdf. For this, I was thinking of a RAG based application . So i wanted to create vector embeddings of my input pdf but when i do this... | https://stackoverflow.com/questions/78112934/getting-validationerror-1-validation-error-for-vectorstoreindexcreator-embeddi | python, machine-learning, large-language-model, openaiembeddings | 1,709,714,853 |
se_78494810 | stackoverflow | ARTIFICIAL_INTELLIGENCE | LLM generation problem - only returning gibberish? | LLM generation problem - only returning gibberish?
I am trying to load a model from path into llamaindex with the HuggingfaceLLM class like this:
from llama_index.llms.huggingface import HuggingFaceLLM
llm = HuggingFaceLLM(
context_window=2048,
max_new_tokens=300,
generate_kwargs={"temperature": 0.5, "do_sam... | https://stackoverflow.com/questions/78494810/llm-generation-problem-only-returning-gibberish | python, large-language-model, huggingface, llama-index | 1,715,938,919 |
se_78519582 | stackoverflow | ARTIFICIAL_INTELLIGENCE | VSCode Python Debugger Cannot Execute Third-Party Unit Test Package | VSCode Python Debugger Cannot Execute Third-Party Unit Test Package
I am trying to use the VSCode debugger to run DeepEval for executing LLM-based unit tests. However, I keep encountering an error related to executing the deepeval package. Here is the error message I receive:
$ /usr/bin/env C:\\Users\\myuser\\anacond... | https://stackoverflow.com/questions/78519582/vscode-python-debugger-cannot-execute-third-party-unit-test-package | python, visual-studio-code, debugging, large-language-model | 1,716,405,268 |
se_78452739 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to convert a AutoModelForCausalLM object to a dspy model object? | How to convert a AutoModelForCausalLM object to a dspy model object?
import dspy
llm = dspy.HFModel(model='model')
This method takes a string as input for the model if i have a quantized model object of the class AutoModelForCausalLM How i can convert the model object to dspy object?
direct assignment gives error o... | https://stackoverflow.com/questions/78452739/how-to-convert-a-automodelforcausallm-object-to-a-dspy-model-object | nlp, large-language-model, llama, autoclass, dspy | 1,715,237,122 |
se_78382978 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Issue while trying to install llama | Issue while trying to install llama
The following is the error that I encountered while I am trying to install llama:
vs[chatbot]pip install llama
Collecting llama
Using cached llama-0.1.1.tar.gz (387 kB)
Preparing metadata (setup.py) ... error
error: subprocess-exited-with-error
× python setup.py egg_inf... | https://stackoverflow.com/questions/78382978/issue-while-trying-to-install-llama | python, large-language-model, llama | 1,714,030,369 |
se_76736361 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Llama QLora error: Target modules ['query_key_value', 'dense', 'dense_h_to_4h', 'dense_4h_to_h'] not found in the base model | Llama QLora error: Target modules ['query_key_value', 'dense', 'dense_h_to_4h', 'dense_4h_to_h'] not found in the base model
I tried to load Llama-2-7b-hf LLM with QLora with the following code:
model_id = "meta-llama/Llama-2-7b-hf"
tokenizer = AutoTokenizer.from_pretrained(model_id, us... | https://stackoverflow.com/questions/76736361/llama-qlora-error-target-modules-query-key-value-dense-dense-h-to-4h | python, quantization, large-language-model, peft | 1,689,928,315 |
se_78300896 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Can I use waitress with 1 thread, and order the requests by a priority? | Can I use waitress with 1 thread, and order the requests by a priority?
I am currently using waittress with 1 thread because I am doing an AI inference API, however i would like to implement a priority queue to order the incomming requests.
Is there any way to make waitress resolve requests in a defined order, or is t... | https://stackoverflow.com/questions/78300896/can-i-use-waitress-with-1-thread-and-order-the-requests-by-a-priority | flask, artificial-intelligence, large-language-model, waitress | 1,712,693,562 |
se_78492223 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Langchain language parser does not work with java | Langchain language parser does not work with java
I'm trying to read a git repo and parse the files from that repo. For that I'm reading files with the following code
from langchain_community.document_loaders.parsers import LanguageParser
from langchain_community.document_loaders.generic import GenericLoader
def get_... | https://stackoverflow.com/questions/78492223/langchain-language-parser-does-not-work-with-java | langchain, large-language-model | 1,715,889,551 |
se_78422935 | stackoverflow | ARTIFICIAL_INTELLIGENCE | While using groq for my project im getting this error | While using groq for my project im getting this error
def claim_agent(user_question):
memory = ConversationBufferWindowMemory(ai_prefix="Insurance Agent", k=20)
prompt_template = PromptTemplate(
input_variables=['history', 'input'],
template="""
You are a Insurance agent bot, you ha... | https://stackoverflow.com/questions/78422935/while-using-groq-for-my-project-im-getting-this-error | runtime-error, langchain, large-language-model, llama, groq | 1,714,716,373 |
se_78152636 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Validation Error : Unable to instantiate GPT4AllEmbeddings Model | Validation Error : Unable to instantiate GPT4AllEmbeddings Model
I am encountering an issue while trying to create an instance of GPT4AllEmbeddings. However i keep receiving the following error
Cell In[15], line 1
----> 1 vectorstore = Chroma.from_documents(documents = splits, embeddings = GPT4AllEmbeddings())
2... | https://stackoverflow.com/questions/78152636/validation-error-unable-to-instantiate-gpt4allembeddings-model | python, machine-learning, large-language-model, gpt4all | 1,710,322,567 |
se_77698411 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Is LlamaIndex.ts as rich as LlamaIndex for python? | Is LlamaIndex.ts as rich as LlamaIndex for python?
I am building an application which involves uploading some PDF and storing it in Qdrant vector database. Later we can run queries against the PDF and the query response will be powered by a custom LLM. I have to use either GTE embeddings or MiniLM embeddings.
The prob... | https://stackoverflow.com/questions/77698411/is-llamaindex-ts-as-rich-as-llamaindex-for-python | node.js, langchain, large-language-model, llama-index, retrieval-augmented-generation | 1,703,166,738 |
se_77396803 | stackoverflow | ARTIFICIAL_INTELLIGENCE | langchain.schema.output_parser.OutputParserException: Got invalid JSON object. Error: Extra data: line 7 column 1 (char 1406) | langchain.schema.output_parser.OutputParserException: Got invalid JSON object. Error: Extra data: line 7 column 1 (char 1406)
I am getting intermittent json parsing error for output of string of chain.run() for the code snippet below
Outline of the python function that queries LLM:-
output_parser = StructuredOutp... | https://stackoverflow.com/questions/77396803/langchain-schema-output-parser-outputparserexception-got-invalid-json-object-e | parsing, langchain, large-language-model | 1,698,762,780 |
se_77528234 | stackoverflow | ARTIFICIAL_INTELLIGENCE | RetrievalQAWithSourcesChain | RetrievalQAWithSourcesChain
My code:
chain = RetrievalQAWithSourcesChain.from_llm(llm=llm, retriever=vectorIndex.as_retriever())
chain
query = "what is the price of Tiago iCNG?"
langchain.debug=True
input_data = {"question": query}
result = chain(input_data, return_only_outputs=True)
I get this error:
[chain/error]... | https://stackoverflow.com/questions/77528234/retrievalqawithsourceschain | python, langchain, large-language-model, faiss | 1,700,640,353 |
se_78487476 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How does Langchain AgentExecutor serving model LLM? | How does Langchain AgentExecutor serving model LLM?
I followed this tutorial
I conducted some changes:
I built model gemma:2b from Ollama
built Ollama by docker
I used this model replace with ChatOpenAI
Summary
steps/index_generator.py
2. steps/agent_creator.py
After ran successfully pipeline, it created a... | https://stackoverflow.com/questions/78487476/how-does-langchain-agentexecutor-serving-model-llm | python, langchain, large-language-model, langchain-agents | 1,715,830,654 |
se_78504131 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Why the padding side matters when giving the model attention mask? | Why the padding side matters when giving the model attention mask?
I am very confused of why the padding side matters in a decoder only Model. If we give the Model the attention mask, no matter if it's left or right padding, the masked matmul scaled dot product of the padding tokens would be negative big numbers. Does... | https://stackoverflow.com/questions/78504131/why-the-padding-side-matters-when-giving-the-model-attention-mask | huggingface-transformers, large-language-model, decoder, llama | 1,716,159,457 |
se_78276786 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Gemini Python API Deadline Exceeded | Gemini Python API Deadline Exceeded
I have been trying to use Google's Gemini API using python, and I am running into continuous 504 Deadline Exceeded. This is also not a one of thing as well, I have tried 20+ times using python SDK and it failed everytime, while curl returned in 5-6 seconds everytime.
I initially th... | https://stackoverflow.com/questions/78276786/gemini-python-api-deadline-exceeded | python, large-language-model, google-ai-platform, google-gemini, google-cloud-ai | 1,712,267,364 |
se_78477036 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to get SQL query from NLP using Openai? | How to get SQL query from NLP using Openai?
I am working on a POC for NLP to SQL query using the Langchain framework and OpenAI. Sometimes, the generated query has errors and giving wrong query. How can I improve the query generation process?
Should I consider fine-tuning or any other method? Please provide some sugge... | https://stackoverflow.com/questions/78477036/how-to-get-sql-query-from-nlp-using-openai | openai-api, langchain, large-language-model, azure-openai | 1,715,678,418 |
se_78384199 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Google Gemini Pro not providing response if tools are given | Google Gemini Pro not providing response if tools are given
Google Gemini Pro works well if not tools are provided
For example:
import google.generativeai as genai
def multiply(a:float, b:float):
"""returns a * b."""
return a*b
model = genai.GenerativeModel(model_name='gemini-1.0-pro')
chat = model.start_c... | https://stackoverflow.com/questions/78384199/google-gemini-pro-not-providing-response-if-tools-are-given | python, python-3.x, large-language-model, google-gemini | 1,714,043,274 |
se_78497875 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Enforcing tokens per minute rate limit in FastAPI | Enforcing tokens per minute rate limit in FastAPI
I'm developing FastAPI endpoints that rely on calls to OpenAI's chat completion. Some of the calls use asyncio.gather to make concurrent requests to OpenAI. Because of this, I'm worried about rate limits. I'm currently using Semaphore to limit the requests per minute, ... | https://stackoverflow.com/questions/78497875/enforcing-tokens-per-minute-rate-limit-in-fastapi | python-asyncio, fastapi, openai-api, large-language-model | 1,715,978,567 |
se_77518719 | stackoverflow | ARTIFICIAL_INTELLIGENCE | ImportError: libcudart.so.12: cannot open shared object file: No such file or directory | ImportError: libcudart.so.12: cannot open shared object file: No such file or directory
I am very new to LLM serving and quantization. Any leads would be much appreciated. I am trying to quantize my model using Autoawq. I have installed the following packages:
Package Version
------------------ ------------... | https://stackoverflow.com/questions/77518719/importerror-libcudart-so-12-cannot-open-shared-object-file-no-such-file-or-di | python, pytorch, gpu, large-language-model | 1,700,512,320 |
se_78494341 | stackoverflow | ARTIFICIAL_INTELLIGENCE | ChromaDB error when deployed in an OpenShift Container | ChromaDB error when deployed in an OpenShift Container
I have deployed **chromadb **in a openshift container. It was showing error with sqlite3. So I resolved it by Changing the __init__.py file. I added these lines
__import__('pysqlite3')
import pysqlite3
sys.modules['sqlite3'] = sys.modules["pysqlite3"]
But now I a... | https://stackoverflow.com/questions/78494341/chromadb-error-when-deployed-in-an-openshift-container | python, python-3.x, large-language-model, chromadb, retrieval-augmented-generation | 1,715,933,702 |
se_78490985 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Langchain Open AI model error for llama index for Agentic RAG | Langchain Open AI model error for llama index for Agentic RAG
I need your help on fixing the error of this matter.
I am building agentic RAG via Langchain and Lamma Index, but I have an following error:
## When I use llm = LangChainLLM(llm=lc_llm_35)##
-----------------------------------------------------------------... | https://stackoverflow.com/questions/78490985/langchain-open-ai-model-error-for-llama-index-for-agentic-rag | python, langchain, large-language-model, llama, llama-index | 1,715,873,150 |
se_78018102 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Error with Annoy module in virtual environment when using NemoGuardrails in a Streamlit app | Error with Annoy module in virtual environment when using NemoGuardrails in a Streamlit app
I've encountered an issue with the Annoy module within my virtual environment while developing a Streamlit app that incorporates LangChain, OpenAI, and NemoGuardrails. Despite installing the Annoy module within the virtual envi... | https://stackoverflow.com/questions/78018102/error-with-annoy-module-in-virtual-environment-when-using-nemoguardrails-in-a-st | nvidia, large-language-model, annoy, python-annoy | 1,708,309,827 |
se_78245692 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Customize prompt llamaindex | Customize prompt llamaindex
i have built chatbot using llamaindex to get response from a pdf, i want to add customize prompt also ,in which if the user messages is about booking appointment, then respond with "booknow!".
Here's my basic implementation
upload_dir = 'uploads/machinebuilt'
file_paths = [os.path.join... | https://stackoverflow.com/questions/78245692/customize-prompt-llamaindex | chatbot, large-language-model, llama-index | 1,711,742,184 |
se_78218999 | stackoverflow | ARTIFICIAL_INTELLIGENCE | LangChain Agents: Conversational React Description | LangChain Agents: Conversational React Description
Previously I used initialize_agent method by passing agent=AgentType.CONVERSATIONAL_REACT_DESCRIPTION to initialize a conversation react agent in LangChain v0.0.
agent_executor = initialize_agent(tools=tools,
llm=llm,
... | https://stackoverflow.com/questions/78218999/langchain-agents-conversational-react-description | python, openai-api, langchain, large-language-model | 1,711,368,927 |
se_78483124 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Cannot use llm_chat_callback on an instance without a callback_manager attribute | Cannot use llm_chat_callback on an instance without a callback_manager attribute
model_key = {"OpenAI": ["gpt-3.5-turbo","gpt-4"]}
def get_embeddingmodel(self, model_name,api_key):
if model_name in model_key["OpenAI"]:
return OpenAIEmbedding(api_key=api_key)
This is my method to return the Embeddings Model ... | https://stackoverflow.com/questions/78483124/cannot-use-llm-chat-callback-on-an-instance-without-a-callback-manager-attribute | python, artificial-intelligence, large-language-model, llama-index, openaiembeddings | 1,715,767,251 |
se_78482279 | stackoverflow | ARTIFICIAL_INTELLIGENCE | past key values from hidden states | past key values from hidden states
I'm trying to extract past key, value pair using attention_layers and hidden_state for a particular layer
import torch
import torch.nn.functional as F
from transformers import LlamaConfig
from transformers import LlamaModel, LlamaTokenizer, LlamaForCausalLM
tokenizer = LlamaTokenize... | https://stackoverflow.com/questions/78482279/past-key-values-from-hidden-states | python, nlp, huggingface-transformers, large-language-model | 1,715,757,962 |
se_78478872 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Microsoft.ML.OnnxRuntimeGenAI parallelism performance | Microsoft.ML.OnnxRuntimeGenAI parallelism performance
at first I want to say that I am newbie in ML at all and in .NET ML specifically.
I have local phi-3 model in ONNX and .NET 8 API application
// Program.cs
var builder = WebApplication.CreateBuilder(args);
var modelDirectory = @"path-to-local-model-directory";... | https://stackoverflow.com/questions/78478872/microsoft-ml-onnxruntimegenai-parallelism-performance | c#, .net, large-language-model, onnx, onnxruntime | 1,715,697,859 |
se_78358685 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Slow query performance on llamaindex | Slow query performance on llamaindex
I have a issue related to llamindex query for which I am unable to find resolution. Basically, I am trying to build a classifier using llamindex. I have around 700 docs (not huge - each is just a couple of paragraphs). I divide it into train test and build the index based on train.... | https://stackoverflow.com/questions/78358685/slow-query-performance-on-llamaindex | large-language-model, azure-openai, llama-index | 1,713,625,401 |
se_78456623 | stackoverflow | ARTIFICIAL_INTELLIGENCE | half() is not supported for quantized model when using FineTuned | half() is not supported for quantized model when using FineTuned
I have fine tuned a Llama-3 model ( model_name="meta-llama/Meta-Llama-3-8B") in standard way per this notebook https://colab.research.google.com/drive/1Zmaceu65d7w4Tcd-cfnZRb6k_Tcv2b8g?usp=sharing
Using the merged model, I'm trying to deploy on AWS sagam... | https://stackoverflow.com/questions/78456623/half-is-not-supported-for-quantized-model-when-using-finetuned | huggingface-transformers, amazon-sagemaker, large-language-model, llama, peft | 1,715,282,903 |
se_78436688 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Langchain Agents and tools: how to pass extra argument to tools other than input | Langchain Agents and tools: how to pass extra argument to tools other than input
My LLM app contains a session for each user and userid.
Here I want to pass userId (id of user who is currently using LLM app) to getPrice tools.
How to send userId to tools?
from langchain import hub
from langchain.agents import AgentExe... | https://stackoverflow.com/questions/78436688/langchain-agents-and-tools-how-to-pass-extra-argument-to-tools-other-than-input | openai-api, langchain, large-language-model, langchain-agents | 1,714,999,275 |
se_77195966 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Incorrect output for sentence_transformers CrossEncoder | Incorrect output for sentence_transformers CrossEncoder
I am looking at the following example from the huggingface website (https://www.sbert.net/examples/applications/cross-encoder/README.html)
from sentence_transformers.cross_encoder import CrossEncoder
model = CrossEncoder(‘bert_base_uncased')
scores = model.pred... | https://stackoverflow.com/questions/77195966/incorrect-output-for-sentence-transformers-crossencoder | huggingface-transformers, huggingface, large-language-model | 1,695,911,761 |
se_78463290 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to make LLMs answer in certain pattern | How to make LLMs answer in certain pattern
How can I design the LLM program so that the LLM will answer in some preset pattern?For example, if I want to use the LLM to promote some products or collect some information from the user, what adjustment should I try on the LLM program? Thx~
I tried modifying the prompts bu... | https://stackoverflow.com/questions/78463290/how-to-make-llms-answer-in-certain-pattern | nlp, artificial-intelligence, openai-api, large-language-model | 1,715,398,081 |
se_78453483 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Text-2-Sql using Llama3 locally | Text-2-Sql using Llama3 locally
I'm attempting to utilize the template provided in the Langchain repository for text-to-SQL retrieval using Llama3. Here's the link to the template: Langchain SQL LlamaCPP Template.
Here is my code
# chain.py code
# Import necessary modules
import os
import re
from langchain.memory imp... | https://stackoverflow.com/questions/78453483/text-2-sql-using-llama3-locally | python, postgresql, langchain, large-language-model | 1,715,246,877 |
se_78453294 | stackoverflow | ARTIFICIAL_INTELLIGENCE | why gradient scaling used in mix-precision training could lead to bigger Learning Rate in float32 model? | why gradient scaling used in mix-precision training could lead to bigger Learning Rate in float32 model?
Background:
Gradient Scaling original is used in mix-precision training like (part of model weights are float16 and part of them are float 32), which its purpose is to reduce underflow of small gradients stored wit... | https://stackoverflow.com/questions/78453294/why-gradient-scaling-used-in-mix-precision-training-could-lead-to-bigger-learnin | machine-learning, nlp, artificial-intelligence, large-language-model | 1,715,244,582 |
se_78440609 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to reduce inference time and restrict additional information generation in Meta-Llama-3-8b model? | How to reduce inference time and restrict additional information generation in Meta-Llama-3-8b model?
I have deployed the Meta-Llama-3-8b model on my server using Xinference. Everything is working good, however the inference time is about 16 seconds even for simple prompts, also it generates extra and additional infor... | https://stackoverflow.com/questions/78440609/how-to-reduce-inference-time-and-restrict-additional-information-generation-in-m | large-language-model, llama, inference-engine, text-generation | 1,715,064,769 |
se_78445234 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Why am i getting a 424 HTTP error when calling Llama-3 endpoint in Azure AI Studio? | Why am i getting a 424 HTTP error when calling Llama-3 endpoint in Azure AI Studio?
I deployed a llama-3-70b-instruct model via the Azure AI Studio. I then tried to call it with a HTTP request which resulted in a 424 HTTP error. This error still occured when using the example code provided by Microsfts "View Code" fea... | https://stackoverflow.com/questions/78445234/why-am-i-getting-a-424-http-error-when-calling-llama-3-endpoint-in-azure-ai-stud | azure, http, large-language-model, llama, azure-ai | 1,715,118,436 |
se_77607854 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Langchain - ConversationalRetrievalChain with memory and customized prompt | Langchain - ConversationalRetrievalChain with memory and customized prompt
I'm trying to create a ConversationalRetrievalChain to answer based on a specific context provided by a pdf file.
I can get good answers. The issue is that the memory is not working.
The code:
template2 = """
Your name is Bot.
You are a... | https://stackoverflow.com/questions/77607854/langchain-conversationalretrievalchain-with-memory-and-customized-prompt | python, artificial-intelligence, chatbot, langchain, large-language-model | 1,701,794,401 |
se_78449510 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Docker containers not able to communicate with each other on the same machine | Docker containers not able to communicate with each other on the same machine
I have a docker compose file running 2 different services and i have launched a third container which is acting as a database for the first two containers.
Third container is a vector db and when i am trying to communicate via the new instan... | https://stackoverflow.com/questions/78449510/docker-containers-not-able-to-communicate-with-each-other-on-the-same-machine | python, docker, docker-compose, dockerfile, large-language-model | 1,715,180,934 |
se_78449463 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Does a vector database maintain pre-vector chunked data for RAG systems? | Does a vector database maintain pre-vector chunked data for RAG systems?
I believe that when using an LLM with a Retrieval-Augmented Generation (RAG) approach, the results retrieved from a vector search must ultimately be presented in text form. Otherwise, the prompt would just contain a series of numbers (vectors), w... | https://stackoverflow.com/questions/78449463/does-a-vector-database-maintain-pre-vector-chunked-data-for-rag-systems | large-language-model, vector-database, retrieval-augmented-generation | 1,715,180,411 |
se_78449323 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to Determine Subject-Object Placement in SPARQL Triples? | How to Determine Subject-Object Placement in SPARQL Triples?
I'm currently working on a project involving LLMs and SPARQL queries, particularly focusing on prompting LLMs to translate natural language questions into SPARQL queries. However, the model encounters challenges with determining the correct placement of enti... | https://stackoverflow.com/questions/78449323/how-to-determine-subject-object-placement-in-sparql-triples | sparql, rdf, large-language-model, wikidata, knowledge-graph | 1,715,179,036 |
se_78444988 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Observation: Python REPL is not a valid tool, try one of [python_repl_ast]. in Langchain | Observation: Python REPL is not a valid tool, try one of [python_repl_ast]. in Langchain
from langchain.agents import initialize_agent
from langchain.llms.fake import FakeListLLM
from langchain.agents import AgentType
from langchain_experimental.tools import PythonAstREPLTool
res = ["Action: Python REPL\nAction Input:... | https://stackoverflow.com/questions/78444988/observation-python-repl-is-not-a-valid-tool-try-one-of-python-repl-ast-in-l | python, artificial-intelligence, langchain, large-language-model | 1,715,114,832 |
se_78417850 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Conversational Product search using LLM | Conversational Product search using LLM
What we want is when the user asks for something, searches for the product in our database with millions of data, shows results then asks the user to give more details and then shows more relevant products etc. The chat continuation is just one part of it
Is there any way GPT ca... | https://stackoverflow.com/questions/78417850/conversational-product-search-using-llm | database, search, large-language-model, chatgpt-api, vector-search | 1,714,638,904 |
se_78391157 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Ray error when trying to deploy Llama3 70b with VLLM with Vertex AI | Ray error when trying to deploy Llama3 70b with VLLM with Vertex AI
Using Vertex ai custom container online predictions, i'm trying to deploy:
meta-llama/Meta-Llama-3-70B-Instruct
with vllm 0.4.1 on 8 NVIDIA_L4 gpus
and gettings:
/tmp/ray is over 95% full, available space: 5031063552; capacity:
101203873792. Object... | https://stackoverflow.com/questions/78391157/ray-error-when-trying-to-deploy-llama3-70b-with-vllm-with-vertex-ai | large-language-model, ray, google-ai-platform, vllm | 1,714,141,746 |
se_78438186 | stackoverflow | ARTIFICIAL_INTELLIGENCE | RAG returning prompt + context + answer as output whereas i just need the answer | RAG returning prompt + context + answer as output whereas i just need the answer
I'm trying to build a conversational RAG with chat history kept in memory. The output gives everything including the context, prompt template, question and answer. I just want the answer.
Code
conversational_rag_chain = RunnableWithMes... | https://stackoverflow.com/questions/78438186/rag-returning-prompt-context-answer-as-output-whereas-i-just-need-the-answer | langchain, large-language-model, retrieval-augmented-generation | 1,715,015,981 |
se_77751416 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Error in transformers.Trainer when I want to train fine-tuned model | Error in transformers.Trainer when I want to train fine-tuned model
I created stablelm-3b-4e1t model and I use TweetSumm dataset for training it. But I have a problem to fine-tune this model and train it. I got an error on transformers.Trainer. I used PEFT library to fine-tune model. Can anyone tell where the problem ... | https://stackoverflow.com/questions/77751416/error-in-transformers-trainer-when-i-want-to-train-fine-tuned-model | python, pytorch, large-language-model | 1,704,279,699 |
se_78352032 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to change distance function in `langchain` similarity_search | How to change distance function in `langchain` similarity_search
I have two questions:
How could I change the distance metric directly in the function similarity_search. Because by default the function similarity_search uses euclidean distance and I want e.g. cosine. Ho could I do that?
from eurelis_langchain_solr_v... | https://stackoverflow.com/questions/78352032/how-to-change-distance-function-in-langchain-similarity-search | solr, langchain, large-language-model | 1,713,511,787 |
se_78434891 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to prompt gpt so it does not make mistakes with time window | How to prompt gpt so it does not make mistakes with time window
I'm trying to extract property condition from estate description. In particular, any property being renovated in 2020 or above should be tagged as "JUST_RENOVATED" whereas if the renovation took place before 2020, it should simply be tagged as "GOOD".
Her... | https://stackoverflow.com/questions/78434891/how-to-prompt-gpt-so-it-does-not-make-mistakes-with-time-window | python, openai-api, large-language-model | 1,714,977,352 |
se_78434615 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Accessing of vaiable from inside of the flask instance to outside | Accessing of vaiable from inside of the flask instance to outside
from pydantic import BaseModel, Field
from langchain.agents import initialize_agent, Tool, AgentType
from langchain.tools import BaseTool,
class GetIncidentsByUserInput(BaseModel):
"""Input for Get Incidents by User."""
assigned_to: str = Field(.... | https://stackoverflow.com/questions/78434615/accessing-of-vaiable-from-inside-of-the-flask-instance-to-outside | python, pydantic, large-language-model | 1,714,971,607 |
se_76048714 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Finetuning a LM vs prompt-engineering an LLM | Finetuning a LM vs prompt-engineering an LLM
Is it possible to finetune a much smaller language model like Roberta on say, a customer service dataset and get results as good as one might get with prompting GPT-4 with parts of the dataset?
Can a fine-tuned Roberta model learn to follow instructions in a conversational ... | https://stackoverflow.com/questions/76048714/finetuning-a-lm-vs-prompt-engineering-an-llm | language-model, roberta-language-model, roberta, gpt-4, large-language-model | 1,681,848,918 |
se_78367787 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Llama3 via Ollama - Where can I find the default model system message? | Llama3 via Ollama - Where can I find the default model system message?
I want to understand what the default parameters are. If I do not pass a system message what is the default one? etc.. | https://stackoverflow.com/questions/78367787/llama3-via-ollama-where-can-i-find-the-default-model-system-message | large-language-model, llama, ollama | 1,713,804,806 |
se_78371518 | stackoverflow | ARTIFICIAL_INTELLIGENCE | TPM limit reached when using OpenAI API and Langchain MapReduceDocumentsChain | TPM limit reached when using OpenAI API and Langchain MapReduceDocumentsChain
I'm trying to use Langchain's MapReduceDocumentsChain in combination with OpenAI's API to summarize a the content of a big document through the following chain (which was copied from Langchain's documentation):
def _create_document_summary_c... | https://stackoverflow.com/questions/78371518/tpm-limit-reached-when-using-openai-api-and-langchain-mapreducedocumentschain | python, openai-api, langchain, large-language-model | 1,713,867,056 |
se_78430569 | stackoverflow | ARTIFICIAL_INTELLIGENCE | ConnectionRefusedError When try to do embedding in RAG | ConnectionRefusedError When try to do embedding in RAG
I wanted to write Rag and using llama3 on Google Colab and I used the following code:
#### INDEXING ####
# Load Documents
loader = WebBaseLoader(
web_paths=("https://lilianweng.github.io/posts/2023-06-23-agent/",),
bs_kwargs=dict(
parse_only=bs4.S... | https://stackoverflow.com/questions/78430569/connectionrefusederror-when-try-to-do-embedding-in-rag | langchain, large-language-model, httpconnection | 1,714,862,725 |
se_78426646 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to run LLM from transformers library under Windows without GPU? | How to run LLM from transformers library under Windows without GPU?
I have no GPU but I can run openbuddy-llama3-8b-v21.1-8k from ollama. It works with speed of ~1 t/s.
But it doesn't work when I try the following code:
from transformers import (
AutoModelForCausalLM,
AutoTokenizer,
GenerationConfig,
)
imp... | https://stackoverflow.com/questions/78426646/how-to-run-llm-from-transformers-library-under-windows-without-gpu | python, huggingface-transformers, large-language-model | 1,714,764,904 |
se_78427134 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to feed a RAG / vector database with mysql data (incl. relations) | How to feed a RAG / vector database with mysql data (incl. relations)
I've been searching high and low and I'm close enough to give up.
I'm playing around with LLMs and vector databases / RAGs (looking at Milvus ATM.
I found plenty of articles on how to integrate RAGs with Mysql, however they always include only one t... | https://stackoverflow.com/questions/78427134/how-to-feed-a-rag-vector-database-with-mysql-data-incl-relations | mysql, large-language-model, vector-database | 1,714,773,795 |
se_77531993 | stackoverflow | ARTIFICIAL_INTELLIGENCE | run LLM on single gpu with 8GB ram | run LLM on single gpu with 8GB ram
I have a single nvidia gpu with 8 GB of ram. I’m running it on an ubuntu server 18.04 LTS. I’m able to pass queries and get response from flan-T5, but when I tried performing peft with lora I got a “gpu out of memory” error. Similarly I tried running camel-5b and llama2-7b-chat as ch... | https://stackoverflow.com/questions/77531993/run-llm-on-single-gpu-with-8gb-ram | langchain, huggingface, large-language-model | 1,700,673,608 |
se_77006406 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Flan-T5 params clarification | Flan-T5 params clarification
this is a general guidance question. I want a clear explanation of 2 parameters of Flan-T5 :
max_length
num_return_sequences
Also what is the input limit for flan-t5 ? | https://stackoverflow.com/questions/77006406/flan-t5-params-clarification | nlp, large-language-model | 1,693,385,575 |
se_78426720 | stackoverflow | ARTIFICIAL_INTELLIGENCE | When I try to perform testing in my knowledge base, the model does not load in amazon bedrock | When I try to perform testing in my knowledge base, the model does not load in amazon bedrock
When I try to perform testing using my knowledge base for RAG in amazon bedrock, when I have to select the model, it keeps loading forever
I tried activating the claude model by antrophic, because I know that is the only mode... | https://stackoverflow.com/questions/78426720/when-i-try-to-perform-testing-in-my-knowledge-base-the-model-does-not-load-in-a | amazon-web-services, nlp, large-language-model, amazon-bedrock | 1,714,766,252 |
se_78420830 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Unsloth not detecting CUDA and "str2optimizer32bit" | Unsloth not detecting CUDA and "str2optimizer32bit"
I'm facing issues with Unsloth not detecting CUDA and encountering a "str2optimizer32bit" error. My setup includes an HP Z4 workstation with an Intel Core i7 processor and an NVIDIA 1080Ti GPU, running Ubuntu 22.04. CUDA version is 12.1, and PyTorch version... | https://stackoverflow.com/questions/78420830/unsloth-not-detecting-cuda-and-str2optimizer32bit | python, machine-learning, artificial-intelligence, large-language-model, custom-training | 1,714,671,058 |
se_78413409 | stackoverflow | ARTIFICIAL_INTELLIGENCE | I'm trying to fine tune a model for a question-answer task, but I keep encountering errors. Why? | I'm trying to fine tune a model for a question-answer task, but I keep encountering errors. Why?
I'm trying to fine-tune a model for my thesis using the following dataset for question-and-answer tasks: https://huggingface.co/datasets/SzegedAI/MILQA/tree/main, in the following code:
`
import os
import json
import t... | https://stackoverflow.com/questions/78413409/im-trying-to-fine-tune-a-model-for-a-question-answer-task-but-i-keep-encounter | python, compiler-errors, large-language-model, fine-tuning | 1,714,561,780 |
se_78310494 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Running mistral:instruct through ollama in colab is very slow | Running mistral:instruct through ollama in colab is very slow
I want to use colab's GPU when running ollama. To be able to run it I use ngrok to set the tunnel.
All works fine and I can pull model and use it. However, even though I use mistral/instruct which should be quite small (4 gb), the scoring is very slow. Plea... | https://stackoverflow.com/questions/78310494/running-mistralinstruct-through-ollama-in-colab-is-very-slow | json, pydantic, large-language-model, mistral-7b, ollama | 1,712,840,294 |
se_78409544 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to tune agent _executor for better understanding of the database | How to tune agent _executor for better understanding of the database
I have a database in which I have connected an agent too. However, I have noticed that it sometimes gets confused between whether or not it should return a column ID or persons first name when asked "which person sold the most....?" Is there a way to... | https://stackoverflow.com/questions/78409544/how-to-tune-agent-executor-for-better-understanding-of-the-database | python, artificial-intelligence, langchain, large-language-model | 1,714,490,449 |
se_78417490 | stackoverflow | ARTIFICIAL_INTELLIGENCE | Optimal Learning Rate and Batch Size for LLM Training | Optimal Learning Rate and Batch Size for LLM Training
What are the best practices for optimizing batch size and learning rate in training Large Language Models (LLMs)?
How should these hyperparameters be adjusted relative to each other for efficient convergence and improved performance?
Additionally, could you provide... | https://stackoverflow.com/questions/78417490/optimal-learning-rate-and-batch-size-for-llm-training | nlp, large-language-model, batchsize, learning-rate | 1,714,634,327 |
se_77077603 | stackoverflow | ARTIFICIAL_INTELLIGENCE | run llama-2-70B-chat model on single gpu | run llama-2-70B-chat model on single gpu
I'm running pytorch on an ubuntu server 18.04 LTS. I have an nvidia gpu with 8 GB or ram. I'd like to experiment with the new llma2-70B-chat model. I'm trying to use peft and bitsandbytes to reduce the hardware requirements as described in the link below:
https://www.youtube... | https://stackoverflow.com/questions/77077603/run-llama-2-70b-chat-model-on-single-gpu | python, pytorch, gpu, large-language-model, llama | 1,694,374,026 |
se_78213588 | stackoverflow | ARTIFICIAL_INTELLIGENCE | usage of vllm for extracting embeddings | usage of vllm for extracting embeddings
Following is a little piece of code to extract embeddings from a certain layer of LLM:
def process_row(prompt: str, model, tokenizer, layers_to_use: list, remove_period: bool):
"""
Processes a row of data and returns the embeddings.
"""
if remove_period:
... | https://stackoverflow.com/questions/78213588/usage-of-vllm-for-extracting-embeddings | python, nlp, huggingface-transformers, large-language-model | 1,711,261,806 |
se_78414783 | stackoverflow | ARTIFICIAL_INTELLIGENCE | AI based text game autocompletes user inputs prematurely | AI based text game autocompletes user inputs prematurely
I am trying to write a text-based adventure game following a YouTube tutorial here. After updating the code according to the latest documentation, I've encountered a problem where the AI responds to the inputs that should be for the player. This issue persists f... | https://stackoverflow.com/questions/78414783/ai-based-text-game-autocompletes-user-inputs-prematurely | python, openai-api, langchain, large-language-model, datastax-astra | 1,714,579,881 |
se_78402555 | stackoverflow | ARTIFICIAL_INTELLIGENCE | How to upload your fine-tuned model on HuggingFace and use it as an API? Or Should i use GCP? | How to upload your fine-tuned model on HuggingFace and use it as an API? Or Should i use GCP?
Goal: I am trying to upload my finetuned model on huggingface, and then I want to use it as an API for my Android and IOS application, but I am not sure about the process. I also have tried to look around on GCP, it seems the... | https://stackoverflow.com/questions/78402555/how-to-upload-your-fine-tuned-model-on-huggingface-and-use-it-as-an-api-or-shou | google-cloud-platform, large-language-model, huggingface | 1,714,391,880 |
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