CAMEL-AI.org (@camelaiorg) 's Twitter Profile
CAMEL-AI.org

@camelaiorg

camel-ai.org is working on finding the scaling law of agents. The 1st LLM multi-agent framework. Discord: rb.gy/uez61.

ID: 1670140763424931842

linkhttp://github.com/camel-ai/camel calendar_today17-06-2023 18:46:19

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🐫 CAMEL’s Role-Playing supercharges AI agents by enabling them to tackle complex tasks autonomously. 🚀 Role-Playing consists of the following key parts: • 🔍 Task Prompt: A task can be as simple as a single idea, kickstarted by an inception prompt that sets the objective. •

🐫 CAMEL’s Role-Playing supercharges AI agents by enabling them to tackle complex tasks autonomously. 🚀

Role-Playing consists of the following key parts:

• 🔍 Task Prompt: A task can be as simple as a single idea, kickstarted by an inception prompt that sets the objective.
•
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📢 We've integrated Microsoft Azure's OpenAI services into the 🐫 CAMEL framework. This expands your options for accessing OpenAI’s services. Thanks to our contributor onemquan for this integration. 🤝 Explore more here: github.com/camel-ai/camel…

📢 We've integrated <a href="/Azure/">Microsoft Azure</a>'s <a href="/OpenAI/">OpenAI</a> services into the 🐫 CAMEL framework.  

This expands your options for accessing OpenAI’s services.  

Thanks to our contributor onemquan for this integration. 🤝 Explore more here: github.com/camel-ai/camel…
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Explore Mistral AI's latest cookbook: 🐫 Multi-agent role-playing and knowledge graph creation using CAMEL-AI.org, Qdrant, Neo4j, UnstructuredIO, Firecrawl, and more for a powerful data pipeline. 🔗 See it on GitHub: buff.ly/4cF37pf

Explore <a href="/MistralAI/">Mistral AI</a>'s latest cookbook: 

🐫 Multi-agent role-playing and knowledge graph creation using <a href="/CamelAIOrg/">CAMEL-AI.org</a>, Qdrant, <a href="/neo4j/">Neo4j</a>, <a href="/UnstructuredIO/">UnstructuredIO</a>, <a href="/firecrawl_dev/">Firecrawl</a>, and more for a powerful data pipeline.

🔗 See it on GitHub:  buff.ly/4cF37pf
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🐫 CAMEL-AI Project Meeting (US Time Friendly) - Next Monday 📢 Join us for our next development meeting to discuss our project’s latest integrations and upcoming features. 🔧 New Features from the Last Sprint: • ✨Integrated Together AI: a cloud platform for building

🐫 CAMEL-AI Project Meeting (US Time Friendly) - Next Monday 📢 

Join us for our next development meeting to discuss our project’s latest integrations and upcoming features.

🔧 New Features from the Last Sprint:
• ✨Integrated <a href="/togethercompute/">Together AI</a>: a cloud platform for building
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🎤 Live Talk on "Improving Reward Models with Synthetic Critiques" - Next Tuesday 📢 Join us for a live talk in the 🐫 CAMEL-AI Discord with Zihuiwen Ye (Daniella Ye) about the paper "Improving Reward Models with Synthetic Critiques" by University of Oxford and cohere. The paper

🎤 Live Talk on "Improving Reward Models with Synthetic Critiques" - Next Tuesday 📢

Join us for a live talk in the 🐫 CAMEL-AI Discord with Zihuiwen Ye (<a href="/Daniella_yz/">Daniella Ye</a>) about the paper "Improving Reward Models with Synthetic Critiques" by <a href="/UniofOxford/">University of Oxford</a> and <a href="/cohere/">cohere</a>.  

The paper
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CAMEL-AI 🐫 Project Meeting (US Time Friendly) - Today 📢 Join us today for our next development meeting. See the post below for the meeting agenda. ⏰ When: 17:00 (BST) / 09:00 (PDT) 🗺️ Where: discord.gg/Edhz4jYwMW?eve…

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🔔 Don’t miss this live talk on "Improving Reward Models with Synthetic Critiques" - TODAY! 📢 See all the details in the post below! - ⏰ When: 8/27/24, 16:30 (BST) / 08:30 (PDT) - 🗺️ Where: discord.gg/33cagdxMm3?eve…

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📢 We've integrated the vLLM into the 🐫 CAMEL framework! By doing so, we have enhanced our framework with a high-throughput, memory-efficient inference engine, enabling faster and more efficient deployments of LLMs. 🤖🚀 Thanks to our contributor Zecheng Zhang for this

📢 We've integrated the <a href="/vllm_project/">vLLM</a> into the 🐫 CAMEL framework!

By doing so, we have enhanced our framework with a high-throughput, memory-efficient inference engine, enabling faster and more efficient deployments of LLMs. 🤖🚀

Thanks to our contributor <a href="/zechengzh/">Zecheng Zhang</a> for this
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🎙️ Improving Reward Models with Synthetic Critiques - Zihuiwen Ye 📢 Thanks to Daniella Ye for this amazing talk about the paper “Improving Reward Models with Synthetic Critiques” by University of Oxford and cohere. Thanks to everyone who joined and participated in the Q&A! We will

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🐫 CAMEL-AI Project Meeting (US Time Friendly) - Next Monday 📢 Join us for our next development meeting to discuss our project's latest integrations and upcoming features. 🔧 New Features from the Last Sprint: - ✨ Integrated Together AI: a cloud platform for building and

🐫 CAMEL-AI Project Meeting (US Time Friendly) - Next Monday 📢

Join us for our next development meeting to discuss our project's latest integrations and upcoming features.

🔧 New Features from the Last Sprint:
- ✨ Integrated <a href="/togethercompute/">Together AI</a>: a cloud platform for building and
CAMEL-AI.org (@camelaiorg) 's Twitter Profile Photo

CAMEL-AI 🐫 Project Meeting (US Time Friendly) - Today 📢 Join us today for our next development meeting. See the post below for the meeting agenda. ⏰ When: 17:00 (BST) / 09:00 (PDT) 🗺️ Where: discord.gg/Edhz4jYwMW?eve…

CAMEL-AI.org (@camelaiorg) 's Twitter Profile Photo

We’re excited to share some significant updates to the CAMEL 🐫 framework! ✨Model updates: • Integrated OpenAI's GPT-4o mini. • Integrated Mistral AI models. • ‍Structure response using a function call. 📦Storage updates: • Added object storage support. 🔧 Other updates:

We’re excited to share some significant updates to the CAMEL 🐫 framework!

✨Model updates:
• Integrated <a href="/OpenAI/">OpenAI</a>'s GPT-4o mini.
• Integrated <a href="/MistralAI/">Mistral AI</a> models.
• ‍Structure response using a function call.

📦Storage updates:
• Added object storage support.

🔧 Other updates:
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📢 We've integrated Pydantic into the 🐫 CAMEL framework! Pydantic automatically validates data types and ensures that inputs are correctly structured, saving time on manual checks. 🚀 It also supports complex data types such as nested models and custom validation, making it

📢 We've integrated <a href="/pydantic/">Pydantic</a> into the 🐫 CAMEL framework! 

Pydantic automatically validates data types and ensures that inputs are correctly structured, saving time on manual checks. 🚀

It also supports complex data types such as nested models and custom validation, making it
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📢 We've added object storage support to the 🐫 CAMEL framework! This allows for seamless interaction with various object storage services such as AWS S3, Azure Blob Storage, and Google Cloud Storage. Operations such as uploading, downloading, and verifying object existence

📢 We've added object storage support to the 🐫 CAMEL framework!

This allows for seamless interaction with various object storage services such as AWS S3, Azure Blob Storage, and Google Cloud Storage. 

Operations such as uploading, downloading, and verifying object existence
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🐫 CAMEL-AI Project Meeting (US Time Friendly) - Next Monday 📢 Join us for our next development meeting to discuss our project's latest integrations and upcoming features. 🔧 New Features from the Last Sprint: • 🌐 Integrate Reddit, Inc.; we support getting data from it. • 📰

🐫 CAMEL-AI Project Meeting (US Time Friendly) - Next Monday 📢 

Join us for our next development meeting to discuss our project's latest integrations and upcoming features.

🔧 New Features from the Last Sprint:
• 🌐 Integrate <a href="/Reddit/">Reddit, Inc.</a>; we support getting data from it.
• 📰