What is Lmql?

LMQL is a robust programming language tailored for Large Language Models (LLMs), designed to facilitate interaction with these models effectively.It offers modular prompting capabilities using types, templates, constraints, and an optimizing runtime.

Users can employ LMQL for a wide range of tasks, from simple queries to complex procedural programming tasks.With support for nested queries, LMQL enables the creation of modularized local instructions, enhancing prompt component reuse and facilitating procedural programming within the prompting environment.

Additionally, LMQL ensures portability across different backends, allowing users to switch between them seamlessly with a single line of code.Prompt construction and generation in LMQL are implemented using expressive Python control flow and string interpolation, providing users with a flexible and powerful tool for interacting with LLMs.

⭐ Key features

Lmql core features and benefits include the following:

✔️ Training and optimization of language models.
✔️ Generation of coherent and contextually appropriate text.
✔️ Fine-tuning of language models on specific tasks.
✔️ Model evaluation and analysis for performance improvement.
✔️ Deployment and integration of language models into applications.

⚙️ Use cases & applications

✔️ Create prompts for LLMs with types, templates, and constraints for various tasks..
✔️ Implement procedural programming tasks by leveraging LMQL's modularized local instructions..
✔️ Ensure seamless portability across different backends and platforms for LLM interaction..