Agent Building Blocks

Cerebrum Cloud is a platform that uses leading AI technologies to enable the creation of sophisticated and adaptable agents. Key building blocks include:

Large Language Models (LLMs): The Agent Builder and Deployer platform leverages the power of Large Language Models (LLMs), which have revolutionized natural language processing and are increasingly used in other domains like computer vision. LLMs have much flair for understanding context, relationship, and nuance within data, hence turning them into smart agents that would adapt to situations. Ability to process sequential data and generate high-quality human language is why LLMs are best suited for natural language comprehension, generation, and reasoning tasks.

Toolkits: Cerebrum Cloud arms agents with a multifarious toolkit to be able to communicate with the external world and conduct complex operations. This toolkit opens a wide field of data sources and functions for the agent, further extending its potential well beyond what is set in its pre-trained knowledge base. Key tools within the Cerebrum Cloud ecosystem include:

• Vector Databases for Retrieval Augmented Generation (RAG): Cerebrum Cloud allows users to create and manage private, secure vector databases in which company data, documents, and other information are stored in a format optimized for semantic search. Agents can then use RAG, a powerful technique that combines information retrieval with text generation, to access and process information from these databases. That would make agents provide accurate, contextually appropriate answers to user queries about entities and topics beyond what they originally were trained for. Such an agent, for example, can access the internal knowledge base of a corporation to answer questions from an employee related to certain policies or procedures. Equipped with tools within the platform for easy upload and management of data inside these secure databases.

• Live Web Search Integration: Agents can be enabled to conduct real-time web searches for them to access and process the most recent information available on the internet. This becomes important for tasks that rely on current information, such as market analysis, news summarization, or questions about recent events. Secure and efficient APIs are provided for integration with major search engines.

• API Integrations: Cerebrum Cloud is built on a flexible API framework that can connect agents to a wide variety of external services and data sources. This will include:

  • Live Data APIs: The agents can leverage access to real-time data feeds, such as current stock prices, weather information, or sensor data, for dynamic inclusions into their decision-making.

  • Enterprise Systems APIs: Agents will be provided with an interface to support existing enterprise systems for CRM, ERP, and marketing automation and to access, process data, and automate jobs in these systems.

  • Social Media APIs: The ability to interact with the various social media platforms for gathering social sentiment data, brand mentions, tracking, and other data representing public opinion. Such website will include Twitter, LinkedIn, and Facebook.

• Custom Tools: This allows users to build and integrate their own custom tools, further extending the abilities of their agents. That way, one can create very specialized agents targeted at specific needs and workflows for a business. An SDK is provided with the platform for developing custom tools, along with the documentation.

Among the core set of features within Cerebrum's architecture, security features prominently. Some key elements in this regard include:

• Validator Nodes: Geographically dispersed networks of validator nodes jointly work to ensure transaction integrity and adherence to network rules. The nodes are permissioned, operated by trusted entities that ensure network stability.

• Byzantine Fault Tolerance (BFT) Consensus Mechanism: Consider integrating BFT to introduce further security with fault tolerance. It will enable even a minority set of malfunctioning validator nodes to make the network reach a unanimous decision concerning the system state and thus protect the integrity of the network.

• Integration of Blockchain: Cerebrum utilizes a public blockchain for recording all the transactions in an immutable manner. This engenders trust and makes the network very transparent, proving data provenance and preventing fraud.