RSS3 Open-Source AI Agent Framework: Revolutionizing Web3 AI Models

Sunday, 17 March 2024, 05:20

In the world of artificial intelligence, decentralization and open-source AI are becoming vital for ensuring AI benefits all, not just a few. RSS3 introduces OpenAgent, an open-source AI Agent Framework that democratizes AI model creation, enabling the development of custom AI agents for various needs quickly. Through the innovative Mixture of Experts architecture, OpenAgent empowers independent builders to create AI agents that leverage decentralized data for analysis, prediction, and more.
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RSS3 Open-Source AI Agent Framework: Revolutionizing Web3 AI Models

The Open-Source AI Agent Framework - OpenAgent

With OpenAgent, customized AI agents can be created for specific needs such as analysis, prediction, content creation, and transaction automation, drastically shortening the development time of AI agents for independent builders from months to hours, leveling the AI playing field.

OpenAgent utilizes a Mixture of Experts (MoE) architecture, which uses a gating network to choose the best expert models for specific tasks. Different expert models are like specialized Lego blocks, each optimized for distinctive functions, working independently yet collaboratively to produce a unified output.

Unlike the popular OpenAI GPT models, any LLM (large language model) can be turned into on-chain AI agents with OpenAgent, creating AI agents with precise outputs for analytical or transactional purposes on top of the usual GPT creative content styles. Examples include natural language initiated on-chain transaction AI, on-chain arbitrage AI, and smart contract analytic AI.


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