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LMQL
LMQL
LMQL is a query language specifically designed for large language models (LLM), combining natural language prompts with the expressiveness of Python. It provides features such as constraints, debugging, recovery, and control flow to facilitate interaction with LLMs.
Main Features:
Constraints: Specify conditions so that the generated output meets specific criteria.
Debugging: Analyze and understand how the LLM generates output, helping with fine-tuning and identifying errors.
Recovery: Access predefined prompts for common tasks, providing a convenient starting point.
Control flow: Use Python control flow statements to have more control over the build process.
Automatic token generation and validation: Automatically generate the required tokens and validate the produced sequence based on the constraints provided.
Arbitrary Python code support: Include dynamic prompts and word processing using Python code.
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