
Everything you wanted to know about data, ML, and AI, but were too afraid to ask.
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Recent posts by this newsletter. Browse the email archive.
What does it actually take to build AI software that works in production? Not just a demo, production. In Workshop 1, we broke down the foundations: evaluation-driven development, the Build→Deploy→Monitor→Evaluate cycle, and why most AI pro...
* How do I evaluate complex agentic systems?
For five dollars and a day of training, Zach Mueller built a local bash assistant that runs entirely on his laptop. No API calls, no cloud, no ongoing costs. He took a task that a 30 billion parameter model could do, generated 41,000 traini...
In a recent conversation on the Vanishing Gradients podcast, I spoke with Jeff Huber, CEO and co-founder of Chroma, about the fundamental shifts happening in AI-powered search and AI system development. We talked about moving beyond simple ...
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The writers behind this newsletter.
Hugo is a data scientist, educator, evangelist, content marketer, data strategy consultant, and host of the industry podcast Vanishing Gradients.
ML Engineer @ ZenML
There's a chasm between data science and engineering. Let me show you how to bridge it.
MLOps + Data + LLMOps; creator of https://github.com/dagworks-inc/hamilton. Formerly of: Stitch Fix, Idibon, Nextdoor, LinkedIn, HRI, IBM. CEO @ DAGWorks - dagworks.io
Co-founder Delphina. Past: Uber, Gopuff, Wealthfront. PhD Harvard.
Isaac is an independent consultant who has helped many companies incorporate AI into their products. I've taught AI efficiency to companies for years and worked for tech startups and cutting edge labs.
I was an early product engineer on GitHub Copilot. And I wrote a couple of books! One on Prompt Engineering (https://amzn.to/4gChsFf) and one on Relevant Search (https://amzn.to/3TXmDHk)
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