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Marvin

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Overview

An open-source AI engineering framework for building reliable, scalable, and trustworthy natural language interfaces.

Marvin is a lightweight AI engineering framework designed to facilitate the development of natural language interfaces that are reliable, scalable, and easy to trust. It provides a suite of tools for common large language model (LLM) use cases, including entity extraction, classification, and synthetic data generation. Marvin's components are simple and self-documenting, allowing developers to integrate AI functionalities into their applications with minimal effort. The framework supports multi-modal inputs, including text, images, and audio, making it versatile for various AI-powered applications.

Some of the use cases of Marvin:

  • Developing natural language interfaces for applications.
  • Implementing AI-powered functions without extensive source code.
  • Classifying text and images into categories.
  • Extracting structured entities from unstructured data.
  • Generating synthetic data for testing and development purposes.

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