Communicative Agents for "Mind" Exploration of Large Language Model Society
Cross-environment Agent Benchmark for Multimodal Language Model Agents
Can Large Language Model Agents Simulate Human Trust Behaviors?
Open Agents Social Interaction Simulations on a Large Scale
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Empowering AI Innovation with Sprint 13's Advanced Toolkits and Global Collaboration
- Integrated the Google Scholar Toolkit: This toolkit enhances research capabilities by allowing users to get author information, retrieve publication details, and access paper content directly from Google Scholar. Thanks to our contributor Wendong-Fan for this implementation. 🤝 Explore more here.
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- Added the arxiv toolkit: This toolkit enhances our capabilities in managing and analyzing academic papers and research data from arXiv, making it easier for users to access and utilize valuable scientific information. Thanks to our contributor Wendong-Fan for this implementation. 🤝 Explore more here.
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- Refactored the OpenAIFunction to FunctionTool: This transition enhances the function calling mechanism, which improves the overall architecture of our toolkit. Thanks to our contributor Tom-Doerr for this significant update. 🤝 Explore more here.
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- Refactored the `ModelType`: This enhancement integrates various AI models and backend roles, improving the flexibility and functionality of our codebase. With support for both `ModelType` and `str` as input, we're set to elevate our capabilities. Thanks to our contributor Isaac for this significant update. 🤝 Explore more here.
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- Added support for handling bytes in vector retrieval: This enhancement allows the processing of binary file objects, broadening the types of content that can be handled, thanks to the new `parse_bytes` method. A big thank you to our contributor Shengsong for this improvement! 🤝 Explore more here.
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