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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.
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.