LLM Output Parsing Function Calling vs. LangChain

LLM Output Parsing: Function Calling vs. LangChain

How to consistently parse outputs from LLMs using Open AI API and LangChain function calling: evaluating the methods’ advantages and disadvantages

Creating tools with LLMs requires multiple components, such as vector databases, chains, agents, document splitters, and many other new tools.

However, one of the most crucial components is the LLM output parsing. If you cannot receive structured responses from your LLM, you will have a hard …

advantages agents api components databases document function langchain llm llms machine learning multiple open ai open ai api openai api parsing programming tools vector vector databases