Jan. 19, 2024, 10 a.m. | Martin_Heller@idg.contractors

InfoWorld Machine Learning www.infoworld.com



In an exercise in dogfooding, I asked the GPT-4 large language model “What is retrieval-augmented generation?” using its Browse plug-in, which is one implementation of retrieval-augmented generation.

This is what GPT-4 eventually told me, after I asked it to regenerate its answer:


-----------------

Retrieval-Augmented Generation (RAG) is an AI framework that significantly impacts the field of Natural Language Processing (NLP). It is designed to improve the accuracy and richness of content produced by language models. Here’s a synthesis of the …

ai framework artificial intelligence eventually exercise framework generative-ai gpt gpt-4 impacts implementation language language model large language large language model llms rag retrieval retrieval-augmented software development what is rag

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US