Get the latest tech news
Breaking up is hard to do: Chunking in RAG applications
you go deeper down the rabbit hole building LLM-based applications, you may find that you need to root your LLM responses in your source data. Fine-tuning an LLM with your custom data may get you a generative AI model that understands your particular domain, but it may still be subject to inaccuracies and hallucinations.
June 6, 2024 A look at some of the current thinking around chunking data for retrieval-augmented generation (RAG) systems. Credit: Alexandra Francis
Or read this on Hacker News