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Hey friends, A very short email this week. I've been thinking a lot about writing lately and I've come to realize that there are a lot of rules, and at the same time no rules, about writing. I appreciate you receiving this, but if you want to stop, simply unsubscribe. • • •
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I build ML, RecSys, and LLM systems that serve customers at scale, and write about what I learn along the way. Join 7,500+ subscribers!
Hey friends, How can we work effectively with AI? What’s the workflow and how does it scale? And ideally, it should compound. Every finished artifact—code, docs, analysis, decisions—becomes context for the next session. And each correction updates a config that reduces future errors. While I’m still learning, I’ve repeated my answers often enough that I’m writing it here so the next time I’m asked I can share a link instead. I appreciate you receiving this, but if you want to stop, simply...
Hey friends, After repeating myself for the nth time on how to build product evals, I figured I should write it down. There are three basic steps: (i) labeling a small dataset, (ii) aligning our LLM evaluators, and (iii) running the experiment + evaluation harness with each config change. I appreciate you receiving this, but if you want to stop, simply unsubscribe. • • • 👉 Read in browser for best experience (web version has extras & images) 👈 First, label some data It begins with sampling...
Hey friends, What makes an effective principal engineer or scientist? I’ve distilled what I’ve observed from role models and quoted some of their advice below. While my perspective is Amazon-centric, these ideas should also apply to most principal tech IC roles. As always, use your best judgment and assess if this advice applies to you and your situation. I appreciate you receiving this, but if you want to stop, simply unsubscribe. 👉 Read in browser for best experience (web version has extras...