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desenvolvimento de aprendizado de máquina

  • Easily fine-tune and monetize your AI models with one click.
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    What is Bakery By Bagel?
    Bakery.dev is an open-source platform designed to simplify and streamline the fine-tuning and monetization of AI models. By providing a user-friendly interface, it enables AI startups, machine learning engineers, and researchers to create, upload datasets, fine-tune model settings, and offer their models on a marketplace. With integrated support for popular AI models and decentralized storage, Bakery.dev stands out as a robust and efficient tool for anyone looking to enhance their AI solutions and generate revenue.
    Bakery By Bagel Core Features
    • Create/upload datasets
    • Fine-tune model settings
    • Monetize models on Marketplace
    • Support for Bagel and Hugging Face models
    Bakery By Bagel Pro & Cons

    The Cons

    The Pros

    Open-source platform fostering collaboration and innovation.
    Easy one-click fine-tuning and monetization of AI models.
    Supports both open-source and proprietary models.
    Integrates with popular AI model sources like Hugging Face.
    Designed for AI startups, engineers, and researchers.
    Bakery By Bagel Pricing
    Has free planNo
    Free trial details
    Pricing model
    Is credit card requiredNo
    Has lifetime planNo
    Billing frequency
    For the latest prices, please visit: https://bakery.dev
  • An open-source Python framework to build, test and evolve modular LLM-based agents with integrated tool support.
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    What is llm-lab?
    llm-lab provides a flexible toolkit for creating intelligent agents using large language models. It includes an agent orchestration engine, support for custom prompt templates, memory and state tracking, and seamless integration with external APIs and plugins. Users can write scenarios, define toolchains, simulate interactions, and collect performance logs. The framework also offers a built-in testing suite to validate agent behavior against expected outcomes. Extensible by design, llm-lab enables developers to swap LLM providers, add new tools, and evolve agent logic through iterative experimentation.
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