LMQL is a specialized programming language designed to enhance interactions with large language models (LLMs). By extending Python, it allows developers to seamlessly integrate traditional code with LLM prompts, enabling more structured and efficient AI-driven applications.
With LMQL, you can define complex prompts using familiar Python constructs, ensuring a smooth development experience.
One of the standout features of LMQL is its support for constraints and types within prompts. This functionality ensures that the generated outputs adhere to specific formats or rules, enhancing reliability and control over LLM responses.
Additionally, LMQL’s optimizing runtime improves performance, making it a powerful tool for developers aiming to build robust AI applications.
