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If your agents are hitting roadblocks on long-running tasks, MPP can help unblock ambitious prompts by enabling agents to easily pay for services and get back to the task at hand. Hear more from Georgios Konstantopoulos at MPP IRL:

Tempo

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Back at IAH where last week lines were 4+ hours long and now travelers are getting through in minutes. President Trump instructed DHS and the budget director to tap into available funds to pay all TSA agents. Still, TSA agents still me they are frustrated with so much uncertainty and no long term solution from Congress.

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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 💻 Ubuntu. - 🕸️ Graph evaluator - provides a fine-grain evaluation metric for agents. - 🤖 Task generation - composes subtasks to automatically generate tasks. By connecting all devices to agents, 🦀CRAB unlocks greater capabilities for human-like tasks than ever before. Use 🦀 CRAB to benchmark your multimodal agents! - 👨‍💻 Check out the repository: - 📝 Read the paper: - 🌐 Find out more via the project page: - 🐫 Join our community:

CAMEL-AI.org

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