Evidently AI - Open-source AI Evaluation

Description

Evidently AI is an open-source platform dedicated to AI evaluation and observability. It offers tools to ensure AI systems are safe, reliable, and ready for production. The platform supports testing and monitoring of large language models (LLMs) and AI applications across various workflows, including retrieval-augmented generation (RAG) systems and multi-agent setups.

The platform features a comprehensive database of 250 benchmarks and datasets for evaluating LLMs. These benchmarks cover various capabilities such as reasoning, coding, conversational abilities, and safety. Users can filter benchmarks by specific LLM abilities, making it easier to find relevant tests for their AI use cases.

Evidently AI also provides a database of 800 case studies from over 150 companies, showcasing practical applications of ML and LLM systems. These case studies offer insights into real-world implementations, covering aspects like product design, evaluation criteria, and deployment architecture.

In addition to databases, Evidently AI offers tutorials and courses on AI quality, LLM evaluation, and MLOps. These resources include end-to-end code examples and hands-on learning opportunities for data scientists and engineers.

Evidently AI is trusted by AI teams worldwide and has a community of over 3000 ML practitioners and AI engineers. The platform is open-source, allowing users to contribute and collaborate on improving AI evaluation and observability practices.

Evidently AI's Core Features

• Open-source AI evaluation framework

• 250 LLM benchmarks and datasets

• 800 ML and LLM case studies

• AI quality and MLOps tutorials

• Free courses on LLM evaluation

• Community of 3000+ AI practitioners

• Collaborative testing platform

• Real-world ML system insights

How to use Evidently AI?

1. 1

   Configure: Set up evaluation criteria

2. 2

   Use: Test LLMs and monitor AI systems

3. 3

   Optimise: Improve AI reliability and safety

4. 4

   Collaborate: Join community discussions

Evidently AI's Use Cases

• LLM evaluation
• AI observability
• ML system design
• AI quality assurance
• MLOps tutorials

FAQ from Evidently AI

• What is Evidently AI?

  Evidently AI is an open-source platform for AI evaluation and observability, providing tools to test and monitor AI systems.

• How can Evidently AI help with LLM evaluation?

  Evidently AI offers a database of 250 benchmarks and datasets to evaluate LLM performance across various capabilities.

• What resources does Evidently AI offer for learning?

  Evidently AI provides tutorials and courses on AI quality, LLM evaluation, and MLOps with hands-on code examples.

• Who can benefit from Evidently AI?

  AI teams, data scientists, and engineers looking to ensure their AI systems are production-ready can benefit from Evidently AI.

• Is Evidently AI open-source?

  Yes, Evidently AI is open-source, allowing users to contribute and collaborate on improving AI evaluation practices.

• What is the Evidently AI community?

  The Evidently AI community consists of over 3000 ML practitioners and AI engineers who share feedback and collaborate on AI projects.

• How does Evidently AI support AI observability?

  Evidently AI provides tools and tutorials for monitoring AI systems, ensuring they are reliable and safe for production use.

• Can Evidently AI be used for ML system design?

  Yes, Evidently AI offers insights from 800 case studies on ML and LLM system design from top companies.