No Bullshit AINo Bullshit AIno-bullshit-aiCannabis Courseby Distru00 XP
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Keeping It Working After Launch

An AI feature can get worse without anyone touching it: the vendor updates the model, your products and rules change, people use it for new things. Here is the loop that keeps it working, the five things to watch each week, and the rules for making any change safely.Why AI features drift after launch (model updates, changing data, new uses, cost creep), the build-test-watch loop that keeps them working, the weekly signals to watch, and the change rules: pin the model, change one thing at a time, re-test before release, keep a way back.The LLM application lifecycle (explore, build and evaluate, operate, under governance), drift sources, a minimal monitoring set (quality, harm reports, abstention, cost, latency), eval gates on every change, version pinning, canaries, rollback, and a kill switch.

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A name and an email, once. The whole course is free, nothing is sold to you, and your place is kept so you can pick it up on your phone later.A name and an email, once. The course is free; the account exists so your progress and your level on the dial follow you between devices, and so you can be issued a certificate at the end.name + email. free. account carries completion state, data-level and certificate issuance.

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We store your name, your email, which lessons you open and which you finish, and the reading level you use. Distru can see that. Nothing is charged and nothing is sold on.Stored: name, email, which lessons you open and complete, and your level on the dial. Distru staff can see it. No payment, no third-party advertising trackers.stored: name, email, per-lesson view + completion, data-level. visible to Distru. no payment, no ad-tech, no third-party pixels.

Adapted from Microsoft's Generative AI for Beginners (Lesson 14: The generative AI application lifecycle, Lesson 7: Building chat applications), MIT License. Rewritten for cannabis operations; not endorsed by Microsoft.