Chris Smith is a longtime engineering leader who has been in the trenches of building with AI & machine learning for years. This is a short, bonus episode to go along with our main conversation.
Topics discussed
(00:00) AI tooling allows for cost-effective testing.
(06:02) Scoring and statistical measures to track progress.
(09:22) Costs if model needs rebuilding or hyperparameter tuning
(11:31) Order of magnitude investment estimates
(15:10) Decide upfront when to cut bait.
(17:12) Investment essentials for meaningful results and outcomes.
Links & resources mentioned
Find the full transcript at:
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Chris Smith
Bluesky @xcbsmith
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