Using LangChain Output Parsers to Get What You Want Out of LLMs

Using LangChain Output Parsers to Get What You Want Out of LLMs

Explore the use of output parsers in LangChain to enhance model results in this 23-minute tutorial. Learn about structured output parsers, comma-separated list output parsers, Pydantic output parsers, output fixing parsers, and retry output parsers. Access the accompanying OutParsers Colab for hands-on practice and follow along with the step-by-step explanations. Gain valuable insights into improving the quality and structure of outputs from language models, enhancing your ability to work with LLMs effectively.