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AI engineering: 8 concepts that matter more than your model — Transcript

by Scale in 60 sec · 136 words · 27 segments · language en · Watch on YouTube
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  1. 0:01Eight AI engineering concepts that
  2. 0:03matter more than the model you pick.
  3. 0:06Tokens drive cost and latency, so
  4. 0:08measure them per request like database
  5. 0:10queries.
  6. 0:11And the context window is working
  7. 0:12memory, not storage. More context can
  8. 0:15mean worse answers.
  9. 0:17Retrieval quality usually limits rag
  10. 0:20more than the model. Chunking and
  11. 0:22ranking deserve real engineering.
  12. 0:25Tool calling means the model asks and
  13. 0:27your code executes and validates. An
  14. 0:29agent is a loop, plan, act, observe.
  15. 0:32Bound it with step limits, timeouts, and
  16. 0:34approvals.
  17. 0:36Evals are your test suite. Without them,
  18. 0:39every prompt change is a guess.
  19. 0:41Guardrails run outside the model with
  20. 0:43input checks, output validation, and
  21. 0:45permission boundaries.
  22. 0:48Model choice matters. These eight
  23. 0:49usually matter more.
  24. 0:52Save it for your next design review or
  25. 0:54interview. [music]
  26. 0:55Follow Nitin Sachdev for the rest of the
  27. 0:57series.

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