No Bullshit AINo Bullshit AIno-bullshit-aiCannabis Courseby Distru00 XP
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AI You Can Run on Your Own Computer

Some AI models can run on a computer in your own building, so nothing you type leaves it. That is great for some jobs and a bad deal for others. Here is how to tell which, and what it takes to try one this afternoon.Open-weight models (Llama, Qwen, Gemma, Mistral) can run on your own hardware, so data never leaves. When a local model wins (sensitive data, no internet, high volume of simple jobs), when it loses (hard jobs, no one to maintain it), and how to try one.Open-weight small language models run locally: privacy, cost at volume and offline operation versus lower capability, hardware limits and ops burden; quantisation in one paragraph; Ollama end to end with its OpenAI-compatible endpoint; how to decide with your own eval set.

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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 16: Open source models, Lesson 19: Small language models, Lessons 20 and 21: Mistral and Meta models), MIT License. Rewritten for cannabis operations; not endorsed by Microsoft.