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Introducing 🦀 CRAB: Cross-environment Agent Benchmark for Multimodal Language Model Agents 🦀 CRAB provides an end-to-end and easy-to-use framework to build multimodal agents, operate environments, and create benchmarks to evaluate them, featuring three key components: - 🔀 Cross-environment support - agents can operate tasks in 📱 Android and 💻...

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CAMEL-AI.org

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72,807 次观看 • 2 年前 •via X (Twitter)

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CAMEL-AI.org 的头像
CAMEL-AI.org2 年前

Of course, that wouldn't be possible thanks to the amazing contributors from our @CamelAIOrg community. @TianqiXu233 (KAUST), Linyao Chen (UTokyo), Dai-jie Wu (KAUST), Yanjun Chen (CMU), @zechengzh, Xiang Yao, @Zhiqiang_Xie (Stanford), @YongchaoC (Harvard), @atasteoff (Tsinghua), Bochen Qian (SUSTech), @philiptorr (Oxford), @BernardSGhanem (KAUST), @guohao_li (Oxford)

CAMEL-AI.org 的头像
CAMEL-AI.org2 年前

If you are interested in learning more, check out this blog post:

omni_georgio 的头像
omni_georgio2 年前

🚀

Happy 的头像
Happy2 年前

amazing

CAMEL-AI.org 的头像
CAMEL-AI.org2 年前

Thanks, more to come!

Tianqi Xu 的头像
Tianqi Xu2 年前

Thank @omni_georgio for making this awesome video! We target to make CRAB the best LLM agent benchmark framework.

OP 的头像
OP2 年前

hey @CamelAIOrg . That's promissing. Added CRAB to the new specialized directory for AI Agents and frameworks for building them. Now you can upvote it.

KALALA NZENIELE 的头像
KALALA NZENIELE2 年前

@DFintelligence

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