Newest Evaluación por lotes Solutions for 2024

Explore cutting-edge Evaluación por lotes tools launched in 2024. Perfect for staying ahead in your field.

Evaluación por lotes

  • Airtrain is a no-code compute platform for LLM evaluation.
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    What is Airtrain.ai LLM Playground?
    Airtrain is a robust no-code compute platform tailored for large-scale language model evaluations and fine-tuning. It facilitates data processing with tools like Dataset Explorer, LLM Playground, and batch evaluation, making it ideal for AI data teams. Users can upload evaluation datasets of up to 10,000 examples, select from various open-source and proprietary LLMs, and achieve cost-effective, customized AI solutions.
    Airtrain.ai LLM Playground Core Features
    • No-code compute
    • LLM Playground
    • Dataset Explorer
    • Batch evaluation
    • Fine-tuning tools
    Airtrain.ai LLM Playground Pro & Cons

    The Cons

    Products are being sunsetted and no longer available
    No longer an independent platform

    The Pros

    Focused on AI safety and customization
    Helped improve AI model evaluation and shipping
    Joined a leading AI developer tools platform (Weights & Biases) for enhanced capabilities
    Airtrain.ai LLM Playground 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://airtrain.ai
  • EvalsOne enables easy, iterative refinement of generative AI applications.
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    What is EvalsOne?
    EvalsOne is a comprehensive tool designed to enhance the development and optimization of generative AI applications. By offering a seamless integration with leading large language models, it enables users to perform batch evaluations, multi-model comparisons, and prompt optimizations. The platform caters to both novice and experienced developers by providing an intuitive interface that simplifies the evaluation process. With EvalsOne, users can iterate on their models, ensuring stable and reliable outputs, while gaining a competitive edge in their AI applications.
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