Jan. 10, 2024, 3:57 p.m. | Manya Goyal

MarkTechPost www.marktechpost.com

Meta Research introduced Retrieval-Augmented Generation (RAG) models, a method for refining knowledge manipulation. RAG combines pre-trained parametric-memory generation models with a non-parametric memory, creating a versatile fine-tuning approach. In simple terms, RAG is a natural language processing (NLP) approach that blends retrieval and generation models to enhance the quality of generated content. It addresses challenges […]


The post 8 Open-Source Tools for Retrieval-Augmented Generation (RAG) Implementation appeared first on MarkTechPost.

ai shorts applications artificial intelligence editors pick fine-tuning generated implementation knowledge language language model language processing large language model machine learning manipulation memory meta meta research natural natural language natural language processing nlp non-parametric parametric processing quality rag research retrieval retrieval-augmented simple staff tech news technology terms tools

More from www.marktechpost.com / MarkTechPost

Senior Machine Learning Engineer

@ GPTZero | Toronto, Canada

ML/AI Engineer / NLP Expert - Custom LLM Development (x/f/m)

@ HelloBetter | Remote

Doctoral Researcher (m/f/div) in Automated Processing of Bioimages

@ Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI) | Jena

Seeking Developers and Engineers for AI T-Shirt Generator Project

@ Chevon Hicks | Remote

Principal Data Architect - Azure & Big Data

@ MGM Resorts International | Home Office - US, NV

GN SONG MT Market Research Data Analyst 11

@ Accenture | Bengaluru, BDC7A