LMQL is a powerful programming language designed to streamline the development of applications using large language models. Unique in its approach, LMQL allows developers to embed prompts directly within Python code, combining the flexibility of a programming language with the generative capabilities of LLMs. With LMQL, you can create complex queries, enforce constraints on generated text, and extract structured data effortlessly. The language supports nested queries, facilitating modular prompt design and code reuse and ensures that your LLM code remains portable across different backends, including llama.cpp, OpenAI, and Transformers.
This means you can easily switch between LLMs with minimal changes to your code, giving you flexibility and maximizing the performance. LMQL empowers developers to build sophisticated AI applications with control and efficiency, making it suitable for anyone looking to push the boundaries of what is possible with modern AI.