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Inspect

Evaluation framework from the UK AI Security Institute and Meridian Labs for testing language models across reasoning, safety, and tool use.

Technical Architecture & Overview

Inspect is an open-source framework developed by the UK AI Security Institute and Meridian Labs for designing, running, and scoring large-scale LLM evaluations. It supports safety evaluations, multi-turn agentic scenarios, and benchmark scoring across multiple model providers.

Targeted Technical Use Cases

Running government-grade safety and security evaluations of foundation models at scale.

Evaluation & Trade-offs

Core Strengths

  • +Official framework from a national AI security institute, designed for rigorous model evaluation.
  • +Supports multi-turn agentic evaluations and complex scoring pipelines.
  • +Works with OpenAI, Anthropic, Google, Mistral, Hugging Face, and local model providers.

Trade-Offs & Limitations

  • -Focused on evaluation rather than automated attack generation.
  • -Steeper learning curve for defining custom evaluation tasks and scorers.

Defensive Security Application

Conducting pre-deployment safety and security evaluations of foundation models for regulatory and risk assessment purposes.

Frequently Asked Questions

What is Inspect?

Inspect is an open-source framework developed by the UK AI Security Institute and Meridian Labs for designing, running, and scoring large-scale LLM evaluations. It supports safety evaluations, multi-turn agentic scenarios, and benchmark scoring across multiple model providers.

What is Inspect used for?

Running government-grade safety and security evaluations of foundation models at scale.

What are the strengths of Inspect?
  • +Official framework from a national AI security institute, designed for rigorous model evaluation.
  • +Supports multi-turn agentic evaluations and complex scoring pipelines.
  • +Works with OpenAI, Anthropic, Google, Mistral, Hugging Face, and local model providers.
What are the limitations of Inspect?
  • +Focused on evaluation rather than automated attack generation.
  • +Steeper learning curve for defining custom evaluation tasks and scorers.
How is Inspect used defensively?

Conducting pre-deployment safety and security evaluations of foundation models for regulatory and risk assessment purposes.