This post introduces techniques that probe the LLM’s internal confidence and knowledge boundaries. We explore prompt-based confidence detection, consistency-based uncertainty estimation, and internal state analysis approaches to determine when retrieval is truly necessary.| Sumit's Diary
Building on part 1’s exploration of naive RAG’s limitations, this post introduces adaptive retrieval frameworks and pre-generation retrieval decision-making methods that determine if retrieval is truly necessary.| Sumit's Diary
Retrieval-Augmented Generation (RAG) isn’t a silver bullet. This post highlights the hidden costs associated with RAG and makes the case for a smarter, adaptive approach.| Sumit's Diary