How Selector Built an AI Language Model for Networking (Sponsored)

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What Selector is doing is NOT simply the low-hanging AI fruit of throwing documentation into a model so you can ask natural language questions and get a procedure back. Selector is going hard into the data your network generates, finding the connections, and surfacing information that makes you better at your job.
Selector calls this a Network Language Model (NLM). We dig into just what that means, how Selector collects and processes network data to train its NLM, and how a networking-trained AI can be incorporated into day-to-day network operations.
John Capobianco is our guest. John’s been on Heavy Networking before, and I think of him as a bit of a mad scientist with network automation and lately AI, writing code, building tools, and thinking hard about how to get useful information out of the network in novel ways.

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