Benchmarking LLM performance with LangChain Auto-Evaluator // Lance Martin //LLMs in Prod Con Part 2

// Abstract
Document Question-Answering is a popular LLM use case. LangChain makes it easy to assemble LLM components (e.g., models and retrievers) into chains that support question-answering. But, it is not always obvious to (1) evaluate the answer quality and (2) use this evaluation to guide improved QA chain settings (e.g., chunk size, retrieved docs count) or components (e.g., model or retriever choice). We recently released an open-source, hosted app to address these limitations (see blog post here). We have …

abstract auto benchmarking case components easy evaluation langchain llm llm performance llms part performance popular prod quality support