LMQL
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About
LMQL is a programming language designed specifically for Large Language Models (LLMs). It facilitates robust and modular LLM prompting by incorporating features like types, templates, constraints, and an optimizing runtime. The language supports nested queries, allowing for procedural programming and reusable prompt components. It is highly versatile, working across various LLM backends including llama.cpp, OpenAI, and Hugging Face Transformers, with easy switching between them. LMQL also leverages Python control flow and string interpolation for efficient prompt construction and generation.
Platform
Task
Features
• python control flow and string interpolation
• optimizing runtime
• programming language for llms
• constrained llm generation
• cross-backend compatibility
• nested queries
• types, templates, and constraints
• robust and modular llm prompting
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