Awesome-LLM-RAG and RAG_course

Awesome-LLM-RAG
51
Established
RAG_course
28
Experimental
Maintenance 17/25
Adoption 10/25
Maturity 8/25
Community 16/25
Maintenance 0/25
Adoption 5/25
Maturity 16/25
Community 7/25
Stars: 1,312
Forks: 74
Downloads:
Commits (30d): 7
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License:
Stars: 10
Forks: 1
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: Apache-2.0
No License No Package No Dependents
Stale 6m No Package No Dependents

About Awesome-LLM-RAG

jxzhangjhu/Awesome-LLM-RAG

Awesome-LLM-RAG: a curated list of advanced retrieval augmented generation (RAG) in Large Language Models

This is a curated collection of cutting-edge research papers and resources focused on Retrieval Augmented Generation (RAG) in Large Language Models (LLMs). It helps AI researchers and practitioners stay current with advancements in how LLMs can use external information to generate more accurate and informed responses. The collection provides an organized list of research, tutorials, and books, making it easier to explore specific areas within advanced RAG.

AI Research Natural Language Processing Generative AI Machine Learning Engineering Information Retrieval

About RAG_course

justinzm/RAG_course

此存储库展示了用于检索增强生成(RAG)系统的各种先进技术。RAG 系统将信息检索与生成模型相结合,以提供准确且上下文丰富的响应。

This course helps AI practitioners and researchers enhance their Retrieval Augmented Generation (RAG) systems. It provides techniques to take various input data, like documents or CSVs, and improve the accuracy, efficiency, and contextual richness of the generated responses. The primary users are those building or refining AI chatbots and question-answering systems.

AI Development Natural Language Processing Generative AI Information Retrieval Question Answering Systems

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