Meet the Cisco Deep Community Mannequin: Skilled by the Specialists, Objective-Constructed for the Community
Think about a world the place networks aren’t simply managed however actually understood. A world the place troubleshooting is intuitive, configurations are seamless, and automation feels easy. With Cisco’s new deep community mannequin, this imaginative and prescient turns into actuality. It represents a groundbreaking leap in networking know-how: a purpose-built massive language mannequin (LLM) that’s reworking community operations, redefining how engineers troubleshoot, and shaping the agentic period.
Not Simply One other LLM
The deep community mannequin isn’t simply one other AI mannequin; it’s a networking revolution. Skilled on a long time of Cisco experience, real-world troubleshooting expertise, and annotated reasoning paths, it understands networks in a manner no general-purpose LLM can.
- Objective-Constructed for Networking: Not like conventional fashions, the deep community mannequin is particularly designed for networking duties. It has as much as 20% extra correct reasoning for troubleshooting, configuration, and automation in comparison with main general-purpose LLMs. This precision means fewer errors, quicker resolutions, and extra strong networks.
- Trusted Coaching: The Cisco deep community mannequin is constructed on a basis of Cisco U courseware and CCIE-level information comprised of over 40 years of operational perception. The mannequin has been educated on over 40M tokens, and Cisco consultants have contributed greater than 3000 reasoning traces, meticulously annotating and validating every layer of logic.
- Steady Studying: Networks are at all times evolving, and so is the deep community mannequin. With reinforcement studying, the mannequin persistently adapts with new information and real-world Technical Help Middle (TAC) and Buyer Expertise (CX) insights.
Powering the Agentic Ops Period
The deep community mannequin is greater than a device—it’s the spine of AgenticOps, a brand new paradigm in community operations. On this period, real-time information interprets into real-time outcomes, and the deep community mannequin is on the coronary heart of all of it.
Introducing Cisco AI Canvas
AI Canvas is the place AgenticOps involves life, and the deep community mannequin shines. It’s a shared workspace the place each area comes collectively—community, cloud, safety, observability, collaboration—multi function real-time view. However greater than that, it’s the place AI stops helping… and begins working. Constructed on the inspiration of the deep community mannequin, AI Canvas redefines how people and AI work collectively to perform extra.
Meet Cisco AI Assistant
Embedded inside AI Canvas, the Cisco AI Assistant leverages the facility of the deep community mannequin to grow to be a trusted companion for community engineers. It doesn’t simply present solutions; it affords actionable insights, strolling you thru diagnostics, choices, and resolutions—all grounded in stay telemetry and years of networking experience.
Collectively, AI Canvas and AI Assistant create a system that may see, purpose, and act throughout each area, empowering groups to ship outcomes quicker and extra effectively than ever earlier than.
Continuously Studying, At all times Adapting
The deep community mannequin just isn’t static; it units a brand new business commonplace for precision and experience by way of steady developments and ongoing refinement. Because the mannequin features deeper insights, it can grasp the nuances of your entire Cisco ecosystem, unlocking new prospects for community administration and optimization to adapt to evolving enterprise wants. The deep community mannequin will redefine what’s potential in community administration, troubleshooting, and automation, empowering IT professionals to attain extra, act quicker, and revolutionize the community.
Most of the merchandise and options talked about are nonetheless in growth and will likely be made obtainable as they’re finalized, topic to ongoing evolution in growth and innovation. The timeline for his or her launch is topic to alter
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