LMQL
RecommendedNatural language querying for large models.
About LMQL
LMQL is a specialized query language that caters to the needs of large language models (LLMs). It merges the natural language prompts with the power of Python to offer a comprehensive set of features, including constraints, debugging, retrieval, and control flow. These features make it easier for users to interact with LLMs.
Key Features
- Constraints: Set conditions for the output to meet specific criteria.
- Debugging: Analyze and understand how the tool generates output for fine-tuning and error identification.
- Retrieval: Access pre-built prompts for common tasks as a starting point.
- Control Flow: Use Python control flow statements for more control over the generation process.
- Automatic Token Generation and Validation: Automatically generate required tokens and validate the produced sequence based on provided constraints.
- Support for Arbitrary Python Code: Include dynamic prompts and text processing using Python code.
Use Cases
- LMQL allows for natural language generation with fine-grained control and constraints
- Users can create chatbot-like interactions with LLMs using control flow and constraint features
- LMQL can automate tasks such as generating packing lists, summarizing text, and retrieving data from online sources
- Arbitrary Python code can be used for complex text processing tasks within the prompt
- LMQL enhances interaction with LLMs by providing control, flexibility, and customization
Other Features
- Open Source
- Discord Community
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