https://www.ardanlabs.com/tags/go-ai-bill-kennedy-private-ai-kronk/Recent content in Go, AI, Bill Kennedy, Private AI, Kronk onHugoen-usTue, 10 Mar 2026 00:00:00 +0000https://www.ardanlabs.com/events/ultimate-private-ai-gophercon-eu/Tue, 10 Mar 2026 00:00:00 +0000https://www.ardanlabs.com/events/ultimate-private-ai-gophercon-eu/<p>This is a hands-on, full-day workshop where you&rsquo;ll go from zero to running open-source models directly inside your Go applications — no cloud APIs, no external servers, no data leaving your machine.</p> <p>You&rsquo;ll start by loading a model and running your first inference with the Kronk SDK. Then you&rsquo;ll learn how to configure models for your hardware — GPU layers, KV cache placement, batch sizes, and context windows — so you get the best performance out of whatever machine you&rsquo;re running on. With the model tuned, you&rsquo;ll take control of its output through sampling parameters: temperature, top-k, top-p, repetition penalties, and grammar constraints that guarantee structured JSON responses.</p>https://www.ardanlabs.com/events/ultimate-private-ai/Tue, 10 Mar 2026 00:00:00 +0000https://www.ardanlabs.com/events/ultimate-private-ai/<p>This is a hands-on, full-day workshop where you&rsquo;ll go from zero to running open-source models directly inside your Go applications — no cloud APIs, no external servers, no data leaving your machine.</p> <p>You&rsquo;ll start by loading a model and running your first inference with the Kronk SDK. Then you&rsquo;ll learn how to configure models for your hardware — GPU layers, KV cache placement, batch sizes, and context windows — so you get the best performance out of whatever machine you&rsquo;re running on. With the model tuned, you&rsquo;ll take control of its output through sampling parameters: temperature, top-k, top-p, repetition penalties, and grammar constraints that guarantee structured JSON responses.</p>