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LMQL

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Unlock the power of large language models with LMQL. A specialized query language for developers, LMQL combines natural language prompts with Python flexibility for quick and easy interaction with LLMs. Boost efficiency and accuracy with 🤗 Transformers support. Create and manage LLM applications effortlessly with LMQL.

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What is LMQL?

LMQL is a specialized query language designed to enhance the use of large language models (LLMs) for developers. By combining natural language prompts with the flexibility of Python, LMQL enables developers to interact with LLMs quickly and effortlessly. This innovative tool offers a range of features, including constraints, debugging, retrieval, and control flow, which simplify the process of prompting responses from an LLM. Additionally, LMQL seamlessly integrates with 🤗 Transformers, enabling developers to achieve more powerful and accurate interactions with LLMs. With LMQL, developers can streamline the creation and management of LLM applications, saving time and effort while enhancing efficiency and cost-effectiveness. For developers seeking to optimize their utilization of large language models, LMQL is the ultimate tool.

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LMQL FQA

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LMQL Use Cases

LMQL is a programming language for LLMs.

Robust and modular LLM prompting using types, templates, constraints and an optimizing runtime.

Nested Queries bring Procedural Programming to Prompting NEW

Works Across Backends

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