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Towards Comprehensive Vietnamese Retrieval-Augmented Generation and Large Language Models

Nguyen Quang Duc, Le Hai Son, Nguyen Duc Nhan, Nguyen Dich Nhat Minh, Le Thanh Huong, Dinh Viet Sang

Abstract

This paper presents our contributions towards advancing the state of Vietnamese language understanding and generation through the development and dissemination of open datasets and pre-trained models for Vietnamese Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs).

Towards Comprehensive Vietnamese Retrieval-Augmented Generation and Large Language Models

Abstract

This paper presents our contributions towards advancing the state of Vietnamese language understanding and generation through the development and dissemination of open datasets and pre-trained models for Vietnamese Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs).
Paper Structure (17 sections, 1 figure, 1 table)

This paper contains 17 sections, 1 figure, 1 table.

Table of Contents

  1. Introduction
  2. Main contributions
  3. Details
  4. Vietnamese NewsCorpus dataset
  5. Vietnamese NewsSapo dataset
  6. Vietnamese NewsCategory dataset
  7. Vietnamese Alpaca datasets
  8. Standard Vietnamese Alpaca
  9. Modified Vietnamese Alpaca
  10. Vietnamese Self-chat dataset
  11. Vietnamese Roleplay Realm dataset
  12. Vietnamese Bi-encoder
  13. Vietnamese LLaMA2
  14. Vietnamese LLaMA2-7b-40Gb
  15. Vietnamese LLaMA2-7b-120GB
  16. ...and 2 more sections

Figures (1)

  • Figure :