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.