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Course 7 of The AI Decision Course

Build, buy and choosing models

For leaders choosing between building, buying and which model to use: testing vendors on your own work, small models or frontier ones, switching models, and capacity.

21 short lessons. Each one is a five-minute read with a card your team fills in and three AI prompts to test it.

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Lessons in this course

  1. Which AI to build, and which to buy4-minute read
  2. Buy, partner or build, and what each route leaves you with5-minute read
  3. Budget for running AI, not just building it4-minute read
  4. The AI that came with your subscription, or the one you go and get4-minute read
  5. How to tell a vendor's real AI from a relabel3-minute read
  6. Put an AI vendor to the test on your own work4-minute read
  7. What a week of building doesn't prove4-minute read
  8. Prompt it, fine-tune it, or train your own?4-minute read
  9. A small model of your own, or a frontier one?5-minute read
  10. Does your industry need its own model?4-minute read
  11. Six things to weigh besides the benchmark score4-minute read
  12. Send each task to the cheapest model that clears its bar6-minute read
  13. Put cheap logic in front of the model3-minute read
  14. Three checks that make a working AI system cheaper to run3-minute read
  15. Run models yourself, or pay for a frontier API?4-minute read
  16. What has to run on the device4-minute read
  17. Build so a model change is not a rebuild4-minute read
  18. Read the context-window number before you pay for it4-minute read
  19. Getting a full day's work out of the AI hardware you own5-minute read
  20. Keep your data reachable5-minute read
  21. Making sure the capacity is there before you scale4-minute read

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