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---
## license: apache-2.0
## Datasets:
- AIAT/Kiddee-data1234
- https://huggingface.co/AIAT/Kiddee-data1234
## language:
- th
- en
## metrics:
- accuracy 0.53
- response time 2.440
## pipeline_tag:
- table-question-answering
## 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
library_name: adapter-transformers
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