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Lmql AI

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LMQL is a query language for large language models that enables modularized local instructions and re-use of prompt components, and it automatically makes LLM code portable across several backends.

FEATURES

  • 💻 LMQL is a query language that can generate answers to prompts and questions using variables and constraints.

USE CASES

  • 🔍 Querying: LMQL allows for querying using natural language prompts, enabling the retrieval of specific information or the generation of responses.
  • 💻 Programming: It supports the creation of query programs as functions, allowing the user to define custom prompts and obtain the desired output format.
  • 🔁 Nested Queries: LMQL now supports nested queries, enabling modularized local instructions and the reuse of prompt components.
  • 📅 Date Formatting: It can handle date formatting in the responses to questions, providing the information in the specified format (e.g., DD/MM/YYYY).
  • 🔒 Constrained Generation: The generation of answers is constrained, ensuring that the output is within a specified length and stops at a certain point, enhancing control over the generated content.
Tech Used
Bulma

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FAQ

LMQL abstracts a number of things like APIs and local models, tokenization, optimization, and makes tool integration much easier. It saves users a lot of ugly text concatenation and output parsing code, letting them focus on the core logic of their project.
LMQL is a query language for large language models that facilitates LLM interaction by combining the benefits of natural language prompting with the ability to enforce constraints on LLMs. ChatGPT is a conversational AI model developed by OpenAI that can generate human-like responses to text prompts.

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