Update README.md

README.md

@@ -19,7 +19,7 @@ tags:
 ![KIDDEE](https://media.discordapp.net/attachments/1226897965927497818/1235837202945151016/KIDDEE-Logoo.png?ex=6635d295&is=66348115&hm=8ea3f9706dcdc7b459919d03d5bdb59c06912425efcff8f3979efa93c9e7549e&=&format=webp&quality=lossless&width=437&height=437)
 
 ## Tag
-- OpenThaiGPT13b
+- openthaigpt/openthaigpt-1.0.0-13b-chat
 
 ## Datasets:
   - (https://huggingface.co/datasets/AIAT/Kiddee-data1234)
@@ -38,29 +38,12 @@ tags:
 - OpenthaiGPT-13b
 - LLMModel
 
-# KIDDEE STRONG MUSCLE LLM
-
 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
-
-- **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
-
-
 # sponser
 ![image/png](https://media.discordapp.net/attachments/1226897965927497818/1235842881520930857/image.png?ex=6635d7df&is=6634865f&hm=be4eb57b51de9f52f0817a88fdd2461b5312d0a013bd022630b2a8dde717976f&=&format=webp&quality=lossless&width=687&height=402)