O TYM ODCINKU
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 »
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WYSZUKAJ MINIONE ODCINKI
Wyszukaj minione odcinki The Everything Feed - All Packet Pushers Pods.
INNE ODCINKI W TYM PODCASCIE
Today on the Tech Bytes podcast, we learn about Meter Grants. This is a new program from networking vendor Meter that offers up to $2,000 in grants for early-career network engineers who are looking to get certified or advance their learning. We’ll talk about how the program works, who’s eligible t…
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
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…
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…
Zastrzeżenie: Podcast i grafika osadzone na tej stronie pochodzą z Packet Pushers, który jest własnością jego właściciela i nie jest powiązany ani wspierany przez Listen Notes, Inc.
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