The lastest in our series of podcasts on Effective Machine Learning Teams is now live on the excellent Tech Lead Journal by Henry Suryawirawan. Check out the episode titled Building Effective and Thriving ML Teams.
It’s been fantastic to talk with many great names in technology recently about EMLT, and I think the variety of hosts and audiences showcases the multidisciplinary nature of the book – see the collection of AI conversations.
Just in this episode too, we touched on many related sources we’ve also authored or contributed to, most of which (?) are listed here:
- Coding Habits for Data Scientists – Blog & Youtube
- Testing intent in LLMs
- Thoughtworks Guide to Evaluating MLOps Platforms
- Testing AI solutions, given non-determinism (or sensitive dependence on initial conditions)
- GenAI stone soup
- Multidisciplinary perspectives on [Gen]AI – 22 rules of generative ai
- A talk on Team Topologies x ML (or x Data or x other specialisations)
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