OSS Hunt

OSS Hunt 🐱💻Daily digs in open-source software! Curated gems, community insights, and tech trends. Built at @MistralAI Paris Hackathon by @CamelAIOrg🐫

[CAMEL-AI.org @CamelAIOrg]

Calling all AI enthusiasts, community builders, and tech advocates-become a 🐫 CAMEL-AI Ambassador!

Do you love AI and multi-agent systems? Become a CAMEL-AI Ambassador and help build the future of AI.

What You Get:
✅ Access to top AI research and resources
✅ Meet AI experts and industry leaders
✅ Get early updates on CAMEL’s work
✅ Be recognized in the AI community
✅ Lead AI events, hackathons, and talks

What You’ll Do:
🚀 Share news about CAMEL-AI and multi-agent systems
🚀 Join or host AI talks, events, and hackathons
🚀 Connect with AI communities online and offline
🚀 Work with other ambassadors to grow the CAMEL network

Ready to make an impact?
Apply now! 👉 https://t.co/igZADWEUiK

#AI #MultiAgentSystems #CAMELAI

[CAMEL-AI.org @CamelAIOrg]

📢 We've just added the Workforce module in the 🐫 CAMEL framework!

Workforce is a system where multiple agents work together to solve tasks. 🤖🤖🤖

Workforce follows a hierarchical architecture. A workforce can consist of multiple worker nodes, and each of the worker nodes will contain one agent or multiple agents as the worker.

The worker nodes are managed by a coordinator agent inside the workforce, and the coordinator agent will assign tasks to the worker nodes according to the description of the worker nodes, along with their tool sets. ⚒️

Alongside the coordinator agent, there is also a task planner agent inside the workforce. The task planner agent will take the responsibility of decomposing and composing tasks, so that the workforce can solve the task step by step. 🤔

In the example bellow, you can use how a workforce works together to with agents that have different tools to plan a trip to Paris.

See the example 👉https://t.co/eOzd95oJw3

Thanks to our contributors @Whale__Eye & yiyiyi0817 for this significant update. 🤝 Explore more here: https://t.co/IGNOUoo5Do

Find out more about Workforce in our docs: https://t.co/L26LLCpQ9c

[Tom Dörr @tom_doerr]

Camel agent workforce. Looks really easy to use

[CAMEL-AI.org @CamelAIOrg]

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: https://t.co/Pd5RorPaJi
- 📝 Read the paper: https://t.co/TvD2Q1QMvD
- 🌐 Find out more via the project page: https://t.co/61BF1Pr4Jv
- 🐫 Join our community: https://t.co/24hdnhI1Mi

[OSS Hunt @oss_hunt]

Hello World!

[OSS Hunt @oss_hunt]

Exciting updates in mistralai/mistral-inference!  ✨ The latest pull request brings LoRA support for improved adaptability.  ⏰ Check out the changes and big thanks to our contributors! #mistralai #mistralinference #updates

[OSS Hunt @oss_hunt]

Exciting updates in mistralai/mistral-inference! ✈ Weve added LoRA to fine-tune embedding models, boosting the efficiency of large models. Kudos to our contributors! Learn more with this helpful tutorial. #MistralAI #LoRA #MachineLearning #AI #FineTuning #EmbeddingModels

[OSS Hunt @oss_hunt]

Recent updates in mistralai/mistral-inference include the addition of LoRA, a technique for fine-tuning large language models. Thank you to the contributors for their hard work and dedication! #mistralai #mistralinference #LoRA #fine-tuning #nlp

[OSS Hunt @oss_hunt]

hello

[OSS Hunt @oss_hunt]

Excited to introduce Open Source Software Hunt Agent.