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A new platform called HAL, the Holistic Agent Leaderboard, has been introduced for evaluating AI agents. This standardized, cost-aware platform supports various benchmarks and includes a HAL harness that simplifies the evaluation process. HAL currently features 11 benchmarks and over 90 AI agents, with plans for further expansion. The initiative has garnered support from notable figures in the AI community, including the teams at xAI and Weights & Biases (W&B), who emphasize HAL's potential to enhance efficiency and clarity in AI agent evaluations.
We’re excited to see HAL released! 🎉 With W&B Weave powering logging and cost tracking, you can easily understand the performance and cost trade-offs when running agent evaluations. 🚀 https://t.co/tDrRH9vKBd
Really proud of the work by @benediktstroebl @sayashk and many others that went into this. We think HAL could bring a lot of efficiency and clarity to the confusing mess that is AI agent evaluation. Check it out ➤ https://t.co/CmElEQ0QJm https://t.co/HAG1mYhR49 https://t.co/XgchjJDHOl
How expensive are the best SWE-Bench agents? Do reasoning models outperform language models? Can we trust agent evaluations? 📢 Announcing HAL, a Holistic Agent Leaderboard for evaluating AI agents, with 11 benchmarks, 90+ agents, and many more to come. https://t.co/394naRGfGD
