Confident AI

Confident AI

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Description:

Confident AI is an open-source evaluation infrastructure for Large Language Models (LLMs). It provides a centralized platform to judge LLM applications, ensuring substantial benefits and addressing any weaknesses in LLM implementation. With Confident AI, companies can define ground truths to ensure their LLM is behaving as expected, evaluate performance against expected outputs to pinpoint areas for iterations, and utilize advanced diff tracking to guide towards the optimal LLM stack. The platform offers comprehensive analytics to identify areas of focus and features such as A/B testing, evaluation, output classification, reporting dashboard, dataset generation, and detailed monitoring to help productionize LLMs with confidence.

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Features

Advantages

  • Judge your LLM application on one, centralized platform
  • Deploy LLM solutions with confidence, ensuring substantial benefits and address any weaknesses in your LLM implementation
  • Define ground truths to ensure your LLM is behaving as expected
  • Supply ground truths as benchmarks to evaluate your LLM outputs
  • Evaluate performance against expected outputs to pinpoint areas for iterations
  • Advanced diff tracking to iterate towards the optimal LLM stack
  • Comprehensive analytics to identify areas of focus

Disadvantages

  • May require technical expertise to set up and use
  • Limited to evaluating LLM applications
  • May not be suitable for small-scale or non-technical users

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