metadata
license: apache-2.0
datasets:
- AIAT/Kiddee-data1234
language:
- th
- en
metrics:
- accuracy
library_name: transformers
pipeline_tag: table-question-answering
tags:
- code
- openthaigpt
license: apache-2.0
Tag
- openthaigpt/openthaigpt-1.0.0-13b-chat
Datasets:
language:
- th
- en
metrics:
- accuracy 0.53
- response time 2.440
pipeline_tag:
- table-question-answering
tags:
- OpenthaiGPT-13b
- LLMModel
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.
