Bringing the Artificial Analysis LLM Performance Leaderboard to Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Topics: Benchmarks
Entities: Benchmarks
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A focused stream of recent stories from the sources curated for this community. Latest: Bringing the Artificial Analysis LLM Performance Leaderboard to Hugging Face, Emma Abele is METR’s new Executive Director, and Amazon Bedrock model evaluation is now generally available - Amazon Web Services (AWS). Page 69.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Topics: Benchmarks
Entities: Benchmarks
Emma moves from President to Executive Director, Beth moves to Head of Research.
Amazon Bedrock model evaluation is now generally available Amazon Web Services (AWS)
Topics: LLM Evaluation
Entities: LLM Evaluation
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Topics: Benchmarks
Entities: Benchmarks
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Topics: Benchmarks
Entities: Benchmarks
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Topics: Benchmarks
Entities: Benchmarks
A collection of resources for evaluating potentially dangerous autonomous capabilities of frontier models.
An example protocol for the whole evaluation process, based on our task suite, elicitation protocol, and scoring methods.
Contribute to METR/public-tasks development by creating an account on GitHub.
Priorities for approximating the full potential capability of an AI agent, and recommended checks for evaluation validity.
A brief research report outlining quantitative research which could inform the "safety margin" to add to take into account further post-training enhancements to agent capability.
METR has published a standard way to define tasks for evaluating the capabilities of AI agents.