Constrained Generation

This tutorial explores the concepts of constrained and guided generation in the context of large language models. We'll focus on techniques to set up constraints for model outputs and implement rule-based generation using OpenAI's GPT models and the LangChain library.

While large language models are powerful tools for generating text, they sometimes produce outputs that are too open-ended or lack specific desired characteristics. Constrained and guided generation techniques allow us to exert more control over the model's outputs, making them more suitable for specific tasks or adhering to certain rules and formats.