AIAT/Kiddee-qatable1

---

license: apache-2.0

Tag

• openthaigpt/openthaigpt-1.0.0-13b-chat

Datasets:

• (https://huggingface.co/datasets/AIAT/Kiddee-data1234)

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.

sponser

library_name: adapter-transformers