Update README.md

README.md

@@ -21,26 +21,31 @@
 - OpenthaiGPT-13b
 - LLMModel
 
-# Large Language Model (LLM) README
+# KIDDEE STRONG MUSCLE LLM
 
-## Overview
-This repository contains the implementation and resources for a Large Language Model (LLM) based on [OpenAI's GPT](https://openai.com/gpt) architecture. The model is trained on a diverse corpus of text data and can generate human-like text given a prompt.
+This repository contains code and resources for building a Question Answering (QA) system using the Retrieval-Augmented Generation (RAG) approach with the Language Learning Model (LLM).
+
+## Introduction
+
+RAG-QA combines the power of retrieval-based models with generative models to provide accurate and diverse answers to a given question. LLM, a state-of-the-art language model, is used for generation within the RAG framework.
 
 ## Features
-- **Text Generation**: The LLM can generate coherent and contextually relevant text given a prompt.
-- **Fine-tuning**: This repository provides scripts and resources for fine-tuning the model on specific tasks or domains.
-- **API Integration**: Instructions and resources for integrating the LLM into applications through APIs.
 
-## Installation
-To use the LLM, follow these steps:
-1. Clone this repository: `git clone [repository-url]`
-2. Install the required dependencies: `pip install -r requirements.txt`
-3. Download the pre-trained model weights from [link] and place them in the `models` directory.
+- **RAG architecture**: Integration of retrieval and generation models.
+- **LLM**: Powerful language generation capabilities.
+- **Question Answering**: Ability to answer questions based on given contexts.
+- **Scalable**: Easily scalable for large datasets and complex questions.
+- **Diverse Responses**: Provides diverse responses for a given question through generation.
+
+## Setup
+
+1. Clone this repository:
+
+# I'm not going to tell you
 
-## Usage
-### Generating Text
-To generate text using the pre-trained model, run:
 
+# sponser
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/652f721d7a8c08f81e6edfa3/hV0cTKic_YsySNYVrj9b0.png)
   
 library_name: adapter-transformers
 ---