No Bullshit AINo Bullshit AIno-bullshit-aiCannabis Courseby Distru00 XP
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Your Own AI Model: When It Makes Sense (Rarely)

Everyone asks 'should we train our own AI on our data.' Almost always no. Here is the honest version of when yes, and the one small case where it works.Everyone asks 'should we train our own AI on our data.' Almost always no: a good model plus your documents gets you there. Here is the ladder from prompt to retrieval to a skill to a decision model to fine-tuning, and the one case that is plausible.The decision ladder (prompt, skill, retrieval, small decision model, fine-tune), data and cost per rung, what a 'cannabis LLM' would and would not know, and why the plausible case is a classifier on your own labelled tickets or orders.

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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 18: Fine-tuning, Lesson 2: Exploring and comparing different LLMs), MIT License. Rewritten for cannabis operations; not endorsed by Microsoft.