Benchmarking LLMs: A guide to AI model evaluation - TechTarget
Benchmarking LLMs: A guide to AI model evaluation TechTarget
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Benchmarking LLMs: A guide to AI model evaluation TechTarget
HealthBench is a new evaluation benchmark for AI in healthcare which evaluates models in realistic scenarios. Built with input from 250+ physicians, it aims to provide a shared standard for model performance and safety in health.
A practical pipeline for high-quality Retrieval-Augmented Generation: remove duplicates, split semantically, fuse lexical + dense search, rerank, and measure.
METR conducted a preliminary evaluation of OpenAI's o3 and o4-mini. The two models displayed higher autonomous capabilities than other public models tested, and o3 appears somewhat prone to "reward hacking".
Sharing our updated framework for measuring and protecting against severe harm from frontier AI capabilities.
BrowseComp: a benchmark for browsing agents.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
METR conducted a preliminary evaluation of Claude 3.7 Sonnet. While we failed to find significant evidence for a dangerous level of autonomous capabilities, the model displayed impressive AI R&D capabilities on a subset of RE-Bench which provides the...
We’re exploring the frontiers of AGI, prioritizing technical safety, proactive risk assessment, and collaboration with the AI community.
We introduce PaperBench, a benchmark evaluating the ability of AI agents to replicate state-of-the-art AI research.
Today we’re announcing new funding—$40B at a $300B post-money valuation, which enables us to push the frontiers of AI research even further, scale our compute infrastructure, and deliver increasingly powerful tools for the 500 million people who use ChatGPT...
We propose measuring AI performance in terms of the *length* of tasks AI agents can complete. We show that this metric has been consistently exponentially increasing over the past 6 years, with a doubling time of around 7 months. Extrapolating this trend...
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