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mgasse.bsky.social

@mgasse.bsky.social

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mgasse.bsky.social @mgasse.bsky.social · 12/12/2024

Glad to be part of this great collaborative effort 😊

Reposted by @mgasse.bsky.social

Alexandre Lacoste @alex-lacoste.bsky.social · 03/12/2024

🧵-1 We are thrilled to release #AgentLab, a new open-source package for developing and evaluating web agents. This builds on the new #BrowserGym package which supports 10 different benchmarks, including #WebArena.

AgentLab diagram.

The image describes AgentLab, a framework for efficient parallel experiments with agents. It highlights:

Core Agent Features:

Dynamic Prompting and a Unified LLM API for interacting with large language models.
BrowserGym Platform:

A tool for testing agents on benchmarks like WebArena, WorkArena, MiniWoB, and others.
Key Features:

Reproducibility, a Unified Leaderboard, an analysis tool called Xray, and a Dataset for sharing agent traces.
Blue elements represent AgentLab components.