EMERGING PATTERNS IN BUILDING GENAI PRODUCTS

Summary from the TLDR Web Dev newsletter

When building production-ready generative AI products, evals are used to assess model performance and embeddings are used to represent large datasets efficiently. RAG is used to add context and ground LLM responses. LLMs are still not hallucination-free nor are they always efficient in retrieving context using RAG. Some solutions for inefficient retrieval are discussed, like hybrid retrievers, query rewriting, and rerankers.