LMQL

LMQL (Language Model Query Language) is a programming language for large language model (LLM) interaction. It facilitates LLM interaction by combining the benefits of natural language prompting with the expressiveness of Python.

LMQL allows users to query LLMs in a variety of ways, including:

Generation: LMQL can be used to generate text, translate languages, write different kinds of creative content, and answer questions in a comprehensive and informative way. Constraint-guided decoding: LMQL allows users to specify constraints on the output of the LLM, such as the length of the text, the style of the text, or the specific information that the text must contain. Tool augmentation: LMQL can be used to augment existing tools, such as code editors and IDEs, with LLM capabilities. Efficiency: LMQL is designed to be efficient, so users can get the results they need quickly and easily. LMQL is a good choice for anyone who wants to interact with LLMs in a more powerful and efficient way. It is easy to learn and use, and it offers a variety of features that can help users get the most out of LLMs.