Artificial Intelligence - Cxrus Solutions

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Artificial Intelligence

Artificial Intelligence (AI) is a system that can perform tasks that typically require human intelligence. Instead of being explicitly programmed for every single task, the system learns from data to reason, solve problems, perceive and make decisions.

Cxrus offer services that help organizations (be it large or small) to incorporate this intelligence into their workflow to replace mundane work or improve the efficiency of delivery. And it uses natural language to give instructions and return results.

The following is the core services that Cxrus offers:

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Private LLM / Private LLM as a Service

A private large language model (LLM) is an AI system that an organization deploys and uses within its own infrastructure, like on its servers or in a private cloud. A private LLM gives a business full control over its data, security and the model’s logic. 

Key Benefits of a Private LLM is as follows: 

Enhanced Data Security and Privacy
Customization and Control
Regulatory Compliance
Operational Independence

"Private LLMs are becoming increasingly common in sectors where security and data control are critical."

Retrieval Augmented Generation (RAG)

Retrieval Augmented Generation (RAG) is a technique that enhances the capabilities of large language models (LLMs) by giving them access to external, up-to-date, or proprietary information. 

Common Use Cases for RAG in business and enterprise environments includes the following: 

Corporate Knowledge Assistants where creating chatbots or assistants trained on internal documents, such as HR Policies, Technical Manuals, and Corporate Guidelines, to provide quick and accurate answers to employees.
Legal where sifting through vast collections of case law and confidential documents to assist legal professionals with research, contract analysis and client advising.

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Model Context Protocol (MCP)

A Model Context Protocol (MCP), is an open standard designed to enable AI models and agents to connect with and use external data sources and tools in a standardized way.

Think of it as a universal plug-and-play adapter for AI. Instead of a developer having to write customer, one-off integrations (like an API) for every single tool and data source an AI needs to access, an MCP server provides a single, consistent interface.

Key Benefits of MCP Servers:

Real-time Context
Enhanced Capabilities
Simplified Integration

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