LMQL

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Robust and modular LLM prompting using types, templates, constraints and an optimizing runtime.0
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What is LMQL?

LMQL is a query language specifically designed for large language models (LLMs), combining natural language prompts with the expressiveness of Python. It provides features such as constraints, debugging, retrieval, and control flow to facilitate interaction with LLMs.


Key Features:

Constraints: Specify conditions for the generated output to meet specific criteria.

Debugging: Analyze and understand how the LLM generates the output, helping in fine-tuning and error identification.

Retrieval: Access pre-built prompts for common tasks, providing a convenient starting point.

Control Flow: Use Python control flow statements to have more control over the generation process.

Automatic Token Generation and Validation: Generate the required tokens automatically and validate the produced sequence based on provided constraints.

Support for Arbitrary Python Code: Include dynamic prompts and text processing using Python code.


More information on LMQL

Launched
2022-11-24
Pricing Model
Free
Starting Price
Global Rank
1110738
Country
United States
Month Visit
35.7K
Tech used
Cloudflare Analytics,Fastly,Google Fonts,GitHub Pages,Highlight.js,jQuery,Gzip,OpenGraph,Varnish

Top 5 Countries

18.35%
3.56%
3.3%
3.2%
3.04%
United States Germany Cambodia India Chile

Traffic Sources

44.61%
35.58%
11.39%
7.48%
0.93%
Direct Search Social Referrals Mail
Updated Date: 2024-03-31
LMQL was manually vetted by our editorial team and was first featured on September 4th 2024.
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