LMQL - LMQL - AI-Powered Prompting Language
LMQL is a programming language for robust and modular prompting using types, templates, constraints, and an optimizing runtime. It enables the creation of prompts and facilitates the generation of responses using expressive Python control flow and string interpolation.
LMQL Product Information
What is LMQL?
LMQL is designed to support nested queries, enabling modularized local instructions and the re-use of prompt components. It brings procedural programming to prompting, allowing for the creation of prompt-specific routines and facilitates the seamless portability of LLM code across several backends.
How to Use LMQL?
To use LMQL, users can benefit from its expressive Python control flow and string interpolation for prompt construction and generation. Additionally, LMQL facilitates the implementation of hard constraints enforced by the runtime, thereby ensuring the creation of prompts and responses that meet specific requirements.
Core Features of LMQL
- Modular prompting using types, templates, and constraints
- Nested query support for local instructions and prompt component re-use
- Seamless portability of LLM code across multiple backends
- Expressive Python control flow and string interpolation for prompt construction
- Enforced hard constraints for prompt and response creation
Use Cases of LMQL
- Prompt Generation
- Dynamic Response Generation
- Portability of Language Models
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