Abstract
Last updated
Last updated
Introducing Cerebrum: a powerful ecosystem for Agentic AI, built on three core components:
AI Agent Builder: Build, Customize, or Integrate
Cerebrum's AI Agent Builder lets you create intelligent agents your way. Build from the ground up, customize existing templates, or bring your own agent (BYOA) like Deep Pavlov or ElizaOS. This component provides the foundation for your AI workforce, offering flexibility and control over agent creation.
Hugging Face & Custom Tools: Open-Source Power and Data Access
Cerebrum seamlessly integrates with Hugging Face, granting your agents access to the largest library of open-source Large Language Models (LLMs). This unlocks advanced AI capabilities, from natural language processing to code generation. Additionally, a custom framework enables agents to interact with your local data and live web data, expanding their knowledge and reach.
Decentralized Hosting: Cost-Effective and Community-Powered
Cerebrum's decentralized model hosting network distributes the computational load of running LLMs. Users contribute their devices, earning money while powering the network. This approach significantly reduces costs compared to traditional cloud services and makes powerful AI more accessible.
These three pillars work together to make Cerebrum a unique platform for building, deploying, and connecting with AI agents in a cost effective and user-friendly way. The First Decentralized AI Agent Launchpad Bringing Enterprise Grade Agents To Blue-Chip Companies, SMEs and Individuals
Where the first AI agents targeted consumer applications, Cerebrum elevates it to a platform where businesses and people create their custom AI agents. Cerebrum will let organizations unlock all the transformational power of tailored, custom-built AI agents, matched to their singular needs. It caters to an emergent market that McKinsey estimates at $4.4 trillion in demand for scalable, secure, and cost-efficient AI solutions every year.
Cerebrum solves critical problems faced by an enterprise today, starting from data-privacy issues and customized solutions to the high price of traditional AI deployments. It allows seamless integration with the large library of AI models developed by Hugging Face, creation of multi-agent ecosystems where complex tasks are performed, in-house deployment of agents for better security, an easy-to-use toolkit for end-users with enterprise-level brands, and a decentralized compute network underpinning the whole platform for greater efficiency.
This whitepaper will describe the Cerebrum approach to democratizing AI, its broad features, varied applications, and its vision for the future of enterprise AI.