How to automatically evaluate large language model behaviors for AI safety research

How to automatically evaluate large language model behaviors for AI safety research

This task can be performed using Bloom

Bloom: instantly evaluate behaviors for safer AI development

Best product for this task

Bloom

Bloom is an open-source framework for automated behavior evaluation of large language models, generating configurable interaction suites from seed configurations. It helps safety researchers probe behaviors like bias or sycophancy, log structured results, and inspect transcripts through an interactive viewer.

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What to expect from an ideal product

  1. Creates test scenarios automatically from basic settings so you don't have to manually write hundreds of evaluation cases
  2. Runs systematic checks for problematic behaviors like unfair responses or overly agreeable answers that could indicate safety issues
  3. Records all test results in organized formats that make it easy to spot patterns and track problems across different model versions
  4. Provides a visual interface where you can read through actual conversations between the system and model to understand what went wrong
  5. Offers ready-to-use templates for common safety concerns so researchers can start testing immediately without building everything from scratch

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