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
Top 5 Countries
Traffic Sources
LMQL Alternatives
Load more Alternatives-
LoLLMS WebUI: Access and utilize LLM models for writing, coding, data organization, image and music generation, and much more. Try it now!
-
Discover Code Llama, a cutting-edge AI tool for code generation and understanding. Boost productivity, streamline workflows, and empower developers.
-
Revolutionize LLM development with LLM-X! Seamlessly integrate large language models into your workflow with a secure API. Boost productivity and unlock the power of language models for your projects.
-
Enhance language models, improve performance, and get accurate results. WizardLM is the ultimate tool for coding, math, and NLP tasks.
-
To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.