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What does it do?

  • AI Evaluation
  • AI Safety
  • AI Risk Assessment
  • AI Development Tools
  • AI Reliability

How is it used?

  • Access web app
  • evaluate AI models for risks and capabilities.
  • 1. Train language model
  • 2. Assess risks
  • 3. Implement safety
See more

Who is it good for?

  • AI Researchers
  • Machine Learning Engineers
  • Data Scientists
  • AI Developers
  • AI Ethics Experts

Details & Features

  • Made By

    Atla
  • Released On

    2023-08-27

Atla develops AI evaluation models and safety tools to help AI developers assess and improve the capabilities and risks of their systems. The company aims to advance AI technology while ensuring alignment with human values and minimizing potential harms.

Key features:
- AI Evaluation Models: Comprehensive assessment tools for language models, designed to unlock their full potential
- Safety Guardrails: Mechanisms to minimize model failures based on insights from evaluation models
- General Purpose AI Systems: Development of reliable and interpretable AI systems, with a focus on surpassing current evaluation standards

How it works:
1. Train a language model specifically for AI system evaluation
2. Provide tools for developers to assess risks and vulnerabilities in AI applications
3. Implement safety measures based on evaluation insights to reduce model failures

Use of AI:
Atla leverages generative AI to create evaluation models capable of assessing other AI systems

AI foundation model:
A custom language model tailored for evaluation purposes (specific architecture not specified)

Target users:
AI developers working in fields such as science, health, and education who need to assess the capabilities and risks of their AI systems

How to access:
Likely available as web applications, though specific access methods are not detailed

  • Supported ecosystems
    Unknown, OpenAI
  • What does it do?
    AI Evaluation, AI Safety, AI Risk Assessment, AI Development Tools, AI Reliability
  • Who is it good for?
    AI Researchers, Machine Learning Engineers, Data Scientists, AI Developers, AI Ethics Experts

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