ÜBER DIESE EPISODE
Ned Bellavance gets to be the guest on today’s show to discuss foundational AI knowledge, inference training, and running local models with Kyler Middleton. Together, they break down practical approaches to local model execution, comparing performance trade-offs and how engineers can safely leverage open-weight models. They also explore the difference between training and inference, optimization... Read more »
Englisch
Vereinigte Staaten
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WEITERE EPISODEN IN DIESEM PODCAST
AI adoption is replaying many of cloud’s early mistakes, but agentic systems introduce a broader spending population, nondeterministic costs, and systems that can act on their own. In this sponsored episode, Eyvonne and William are joined by Ang Troy and Douglas Toombs from Gartner to discuss…
In this double-header episode, JJ and Drew talk with two cybersecurity experts. First up, Jayson E Street talks about how to make security awareness training effective and engaging. Instead of having employees sit through a video or lecture, or get scolded for failing a phishing test, Jayson’s appr…
Keith Parsons and Nick Turner discuss the latest WLAN Pi OS updates including the integration of model context protocol (MCP) for AI agent interaction. They also discuss Wi-Fi 7 multi-link operation (MLO) testing and simultaneous transmit and receive (STR) capabilities. Episode Links: WLAN Pi
Many a IT professional is having the AI football tossed to them, “We need to implement in house AI, go do it”. If this is you, what questions should you be asking of yourself and of leadership? Getting traction accommodating vast new workloads with new and different behaviors is a cha…
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