Large Language Models (LLM)

5 min read

Take an AI break and learn how to build a Model Context Protocol (MCP) server.

4 min read

Discover how Model Context Protocol (MCP) simplifies SD-WAN development by enabling AI to communicate with network infrastructure using natural language, replacing complex vendor-specific APIs.

6 min read

Discover use cases for getting started with the Deep Network Model AI Assistant in Cisco U.

2 min read

Cisco’s Deep Network Model is a purpose-built large language model (LLM) designed specifically for network operations, leveraging decades of Cisco expertise to deliver highly accurate troubleshooting, configuration, and automation capabilities. The Deep Network Model powers AgenticOps by enabling real-time insights, seamless collaboration across domains, and continuously evolving network management solutions.

5 min read

The performance of DeepSeek models has made a clear impact, but are these models safe and secure? We use algorithmic AI vulnerability testing to find out.

2 min read

With the advent of agentic AI, assistance is moving to automation where systems act with agency to achieve specific goals. Agentic AI systems can make rapid decisions, manage complex tasks, and adapt to changing conditions.

3 min read

LLMs can be thought of as the engine of Generative AI. See four use cases for using LLMs in applications specific to IT and network engineering.

7 min read

Learn how to secure the LLM stack, which is essential to protecting data and preserving user trust, as well as ensuring the operational integrity, reliability, and ethical use of these powerful AI models.

5 min read

This year we’ll see a movement for responsible, ethical use of artificial intelligence (AI) that begins with clear AI governance frameworks that respect human rights and values.