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Keypoints:
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I wasn't convinced at first, but after vibe-checking it...I'm quite impressed.
I've got a notebook here, which is kind of a framework for vibe-checking LLMs.
In this notebook, I take Gemma for a spin on a variety of prompts:
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... | Terribly excited about open-source + on-device AI these days! Great to see @qualcomm release 80+ models optimized and curated for their devices and chips on HF: https://huggingface.co/qualcomm
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"label": ... | Want more “good machine learning” in your X feed? Here is a new Space for you:
🔔 Top HF Users To Follow On X - https://huggingface.co/spaces/mvaloatto/HF2X
Ever since I fell down the AI rabbit hole, it hasn’t been super easy to spot and follow the most impactful Hugging Face contributors on X. So, inspired by @Weyaxi... | {
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As you may already know, we've been developing embedding models such as https://huggingface.... | {
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"code": nul... | 🚀🧙🏼♂️Introducing OpenHermesPreferences: the largest open AI feedback dataset for RLHF & DPO
> Using LLMs to improve other LLMs, at scale!
Built in collaboration with the H4 Hugging Face team, it's a 1M preferences dataset on top of the amazing @teknium 's dataset.
Dataset:
https://huggingface.co/datasets/argilla... | {
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"u... | MobileLLM
Optimizing Sub-billion Parameter Language Models for On-Device Use Cases
https://huggingface.co/papers/2402.14905
paper addresses the growing need for efficient large language models (LLMs) on mobile devices, driven by increasing cloud costs and latency concerns. We focus on designing top-quality LLMs with... | {
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"href": n... | Exciting news for `bitsandbytes`! We're thrilled to announce the release of the initial version of our new documentation: https://huggingface.co/docs/bitsandbytes/main/en/index .
Please let us know what you think: Your feedback is essential to us, and we would greatly appreciate any insights you have on how we can fur... | {
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"lang"... | First big community contribution on our evaluation suite, lighteval ⛅️
@Ali-C137 added 3 evaluation tasks in Arabic:
- ACVA, a benchmark about Arabic culture
- MMLU, translated
- Exams, translated
(datasets provided/translated by the AceGPT team)
Congrats to them!
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"label": ... | "The principle of explainability of ai and its application in organizations"
Louis Vuarin, Véronique Steyer
—› 📔 https://doi.org/10.3917/res.240.0179
ABSTRACT: The explainability of Artificial Intelligence (AI) is cited in the literature as a pillar of AI ethics, yet few studies explore its organizational reality. Th... | {
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Fine-tuning is commonly used to improve LM’s capabilities, but its impact on model-internal mechanisms remains poorly understood.
This ... | {
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🚀 Interact effortlessly with the latest SOTA AI model APIs, all optimized on the powerful NVIDIA accelerated computing stack-right from your browser! 💻⚡
🔗 Web Page: https://catalog.ngc.nvidia.com/ai-foundation-models
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YOLOv9 is the latest breakthrough in object detection!
📄 Title: YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
👥 Authors: Chien-Yao Wang et al.
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Extending LLM Context Window Beyond 2 Million Tokens
https://huggingface.co/papers/2402.13753
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➡️ Visualize your chunks here:
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Thoughts?
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Two new OSS models by Google, who's getting back in the game 😎
The 7B is 2nd of the leaderboard, and better than Mistral (notably on GSM8K, aka math).
https://huggingface.co/google/gemma-7b
https://huggingface.co/google/gemma-2b
Check more results on the lead... | {
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... | Exciting news for Indic LLMs! 🚀
Sarvam AI just released high-quality, curated dataset with multi-turn conversations in English, Hindi, and Hinglish! 💎 With a whopping 100K samples! 🤯
Check it out: https://huggingface.co/datasets/sarvamai/samvaad-hi-v1
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Recent interpretability works explore intermediate model representations by projecting them to vocabulary space. This work explores projecting gra... | {
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"value... | 🚀🔥🌟 New Research Alert - ICLR 2024! 🌟🔥🚀
📄 Title: FasterViT: Fast Vision Transformers with Hierarchical Attention
👥 Authors: @ahatamiz, @slivorezzz et al.
📅 Conference: ICLR, May 7-11, 2024 | Vienna, Austria 🇦🇹
🔗 Paper: https://huggingface.co/papers/2306.06189
🔗 Model 🤖 : https://huggingface.co/nvidia/... | {
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Key points:
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"u... | MANIFESTO
After working in fashion e-commerce for years I've come to the conclusion that in e-commerce we do not sell clothes... we sell images of clothes. Compressed, digital versions of physical products. As Roland Barthes pointed out in The Fashion System, a product image is a symbol or metaphor of a product. Media-... | {
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... | Fantastic Beasts (*Hallucinations*) and Where to Find Them 🔎🧌
This paper breaks down LLM hallucinations into six different types:
1️⃣ Entity: Involves errors in nouns. Changing that single entity can make the sentence correct.
2️⃣ Relation: Involves errors in verbs, prepositions, or adjectives. They can be fixed b... | {
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- Variable embedding dimension from 64 <-> 768
- Outperforms text-embedding-ada-002 while achieving a 3x memory reduction
- Day 1 integrations with Langchain, LlamaIndex, MongoDB, and Sentence Transformers
Check out
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It seems far more common with internet data that we have multi-speaker/group discussions with a dynamic number of speakers. This also seems... | {
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... | Speculative Streaming
Fast LLM Inference without Auxiliary Models
https://huggingface.co/papers/2402.11131
Speculative decoding is a prominent technique to speed up the inference of a large target language model based on predictions of an auxiliary draft model. While effective, in application-specific settings, it o... | {
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Check them out at LoRA Land: https://pbase.ai/3uFh7Qc
You can prompt them and compare their results to mistral-7b-instruct in real time!
They're also on HF for you to play with: https://huggingface.co/predibase
Let us know what yo... | {
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One of the oldest leaderboards on the hub, it has already evaluated more than 1000 models! It uses Korean translations of MMLU, ARC, HellaSwag, TruthfulQA, and a new dataset, Korean CommonGen, about specific common sense alignement.
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... | 🔍 Today's pick in Interpretability & Analysis of LMs: In-Context Learning Demonstration Selection via Influence Analysis
by Vinay M.S. @minhhaovan X. Wu
Recent work showed how the performance of LMs using in-context learning (ICL) is heavily dependent on selected demonstrations.
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📄 Title: CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-Modal Multi-Label Emotion Recognition
👥 Authors: Cheng Peng et al.
📅 Conference: AAAI, February 20-27, 2024 | Vancouver, Canada 🇨🇦
🔗 Paper: https://arxiv.org/abs/2312.10201
🔗 Repository: https://gi... | {
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I am slowly wrangling about 5 years of reddit comments (2015-2020). It's a total of billions samples that can be filtered as comment-reply pairs, chains of discussion, filtered by subreddit, up/down votes, controversy, sentiment, and more.
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... | 🚀 Exciting news from 🤗 PEFT!
We are introducing new merging methods for LoRA adapters. These methods allow for retaining the unique capabilities of individual LoRAs while enabling them to combine their strengths: https://huggingface.co/blog/peft_merging
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"... | In Search of Needles in a 10M Haystack
Recurrent Memory Finds What LLMs Miss
paper addresses the challenge of processing long documents using generative transformer models. To evaluate different approaches, we introduce BABILong, a new benchmark designed to assess model capabilities in extracting and processing distr... | {
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YOLO-World was designed to solve a limitation of existing zero-shot object detection models: speed. Whereas other state-of-the-art models use Transformers, a powerful but typically slower architecture, YOLO-World uses the faster CNN-based YOLO architecture.
Y... | {
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"href": nu... | HiCMAE: Hierarchical Contrastive Masked Autoencoder for Self-Supervised Audio-Visual Emotion Recognition, Licai Sun et al.
Repo: https://github.com/sunlicai/hicmae
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This new mark outperform some GPT-4 models, closing further the very thin gap between OpenCommunity LLM and Closed source models.
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Feedback is appreciated! | {
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The holy grail
The one cable to rule them all | {
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Twitter: https://x.com/EzgiKorkmazAI/status/1851934161138798615
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... | Another great week in open ML!
Here's a small recap 🫰🏻
Model releases
⏯️ Video Language Models
AI at Meta released https://huggingface.co/Vision-CAIR/LongVU_Qwen2_7B, a new state-of-the-art long video LM model based on DINOv2, SigLIP, Qwen2 and Llama 3.2
💬 Small language models
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... | wdym you can't pickle
```
_io.TextIOWrapper
```
~!??
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Read full article at https://mltblog.com/4ftTko9
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paper page: https://huggingface.co/papers/2402.10200
In enhancing the reasoning capabilities of large language models (LLMs), prior research primarily focuses on specific prompting techniques such as few-shot or zero-shot chain-of-thought (CoT) prompting. These methods, wh... | {
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Using low-rank adapters (LoRA) is nowadays a common practice to fine-tune pre-trained generative models on specific tasks, or align them to human preferences.
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https://huggingface.co/papers/2402.08939
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"href": ... | 🔍 Today's pick in Interpretability & Analysis of LMs: SyntaxShap: Syntax-aware Explainability Method for Text Generation by @kamara000, R. Sevastjanova and M. El-Assady
Most model-agnostic post-hoc interpretability methods used nowadays in NLP were originally ported from tabular/CV domains with next to no adjustments... | {
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... | Eigenvalues to the rescue? 🛟🤔
I found out about this paper thanks to @gsarti 's post from last week; I got curious, so I want to post my take on it. 🤗
The paper proposes a new metric called EigenScore to detect LLM hallucinations. 📄
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"lang"... | Try out Mixtral 2-bit on a free-tier Google Colab notebook right now!
https://colab.research.google.com/drive/1-xZmBRXT5Fm3Ghn4Mwa2KRypORXb855X?usp=sharing
AQLM method has been recently introduced on transformers main branch
The 2bit model can be found here: https://huggingface.co/BlackSamorez/Mixtral-8x7b-AQLM-2... | {
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Arabic Aya is a caref... | {
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Key aspects of Lumos include:
* Hybrid Computing: Utilizes a combination of on... | {
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"r... | I think one of the most important ways you can contribute to open-source machine learning in 2024 is through datasets.
On Monday Argilla and Hugging Face launched #data-is-better-together an experiment focused on collectively building datasets on the Hub.
For our V1 experiment we're aiming to collectively rank 50k ... | {
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"raw": "🚀Gradio Notebook (beta) is here! A custom component that deploys an interactive notebook UX on your Hugging Face space 🤗",
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... | 🚀Gradio Notebook (beta) is here! A custom component that deploys an interactive notebook UX on your Hugging Face space 🤗
➤ Deploy a Space in minutes without writing any UI code.
➤ Use a combination of text, image, and audio models in a single space
➤ Interact with models in a familiar notebook UI
➤ Shareable URL f... | {
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"href": null... | Amazon presents BASE TTS
Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data
https://huggingface.co/papers/2402.08093
introduce a text-to-speech (TTS) model called BASE TTS, which stands for Big Adaptive Streamable TTS with Emergent abilities. BASE TTS is the largest TTS model to-dat... | {
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The models are ranked based on ELO, you can rate the responses to preselected examples or try with your input 🤗
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"val... | ⚔️ The TIGERLab's Text2Image arena is here! ⚔️
https://huggingface.co/spaces/TIGER-Lab/GenAI-Arena
Like https://huggingface.co/spaces/lmsys/chatbot-arena-leaderboard for LLMs: you prompt, two images emerge, vote for the best one 🏆
With enough votes this will lead to an Elo-based leaderboard for text-to-image model... | {
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Dive into our latest blog post to explore how we're pioneering reliable ag... | {
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The system has three components:
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Unsloth is a framework for fine tuning language models boasting a 0% loss in accuracy while using no approximation methods. They offer a trainer for both supervised fine-tuning (SFT) and direct preference optimization (DPO) that can increase speed of f... | {
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"value": " ist das der erste nicht Englische post auf huggingface?👋🏽 🇩🇪🇫🇷🇮🇹🇪🇸�... | @clem ist das der erste nicht Englische post auf huggingface?👋🏽 🇩🇪🇫🇷🇮🇹🇪🇸🇮🇳… | {
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... | Mixture of experts: beware 🛡️⚔️
New paper by DeepMind: Buffer Overflow in MoE https://huggingface.co/papers/2402.05526
The paper shows an adversarial attack strategy in which a user sends malicious queries that can affect the output of other user queries from the same batch.
So if in the same batch we have
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Here is a black-box method for hallucination detection that shows strong correlation with human annotations. 🔥
💡 The idea is the following: ask GPT, or any other powerful LLM, to sample multiple answers for the same prompt, and then ask it if these answers align with the statements in the... | {
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... | OS-Copilot
Towards Generalist Computer Agents with Self-Improvement
https://huggingface.co/papers/2402.07456
Autonomous interaction with the computer has been a longstanding challenge with great potential, and the recent proliferation of large language models (LLMs) has markedly accelerated progress in building dig... | {
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We partnered with @hamel to ship an Enterprise Model Management course packed full of learnings for those training, evaluating and deploying models at work.
Topics include:
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"raw": "🔍 Today's pick in Interpretability & Analysis of LMs: Show Me How It's Done: The Role of Explanations in Fine-Tuning... | 🔍 Today's pick in Interpretability & Analysis of LMs: Show Me How It's Done: The Role of Explanations in Fine-Tuning Language Models by M. Ballout @krumnack et al.
Authors propose a fine-tuning procedure in which a classification task is framed as generation and augmented with a natural language explanation to clarif... | {
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@sylvain , @lhoestq and team, GREAT JOB 🔥 and THANK YOU 🤗 | {
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Model: https://huggingface.co/ElenaRyumina/face_emotion_recognition
Demo: https://huggingface.co/spaces/ElenaRyumina/Facial_Expression_Recognition
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"href": null... | 🙋🏻♂️hey there folks ,
🤗Aya has been released ! It's an absolutely massive undertaking to create a huge multilingual dataset and multilingual model of very high quality.
Papers :
https://cohere.com/research/papers/aya-dataset-paper-2024-02-13
https://cohere.com/research/papers/aya-model-paper-2024-02-13
Model... | {
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... | Aya Dataset
An Open-Access Collection for Multilingual Instruction Tuning
https://huggingface.co/papers/2402.06619
Datasets are foundational to many breakthroughs in modern artificial intelligence. Many recent achievements in the space of natural language processing (NLP) can be attributed to the finetuning of pre-t... | {
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