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Vanishing Gradients

Hugo Bowne-Anderson, Alex Strick van Linschoten, Eleanor Berger, Duncan Gilchrist, Isaac Flath

Everything you wanted to know about data, ML, and AI, but were too afraid to ask.

Platform
Substack
PricingOnly free issuesPublishesWeekly
Issues65SubscribersRead hugobowne.substack.com

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Latest Issues

Recent posts by this newsletter. Browse the email archive.

Top Questions About AI-Assisted Software Development

In a recent conversation, I had the pleasure of hosting Eleanor Berger and Isaac Flath, the creators of the “Elite AI Assisted Coding” course, to discuss Agent Skills, Async Agents, and all the ins and outs of Effective AI-Assisted Coding.

16 days ago
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1

Build AI Products Locally: 10 Hours of Free Workshops with a Google DeepMind Researcher

Last year, Ravin Kumar, a researcher at Google DeepMind who works on the Gemma and Gemini models, and I put together 10 hours of free workshops on building AI products with state-of-the-art open-weight local models.

a month ago
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Why most AI projects fail before they ship (and the eval-driven approach to fix it)

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...

a month ago
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Final Cohort: Building AI Systems That Actually Work

* How do I evaluate complex agentic systems?

a month ago
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Authors

The writers behind this newsletter.

  • Hugo Bowne-Anderson

    Hugo is a data scientist, educator, evangelist, content marketer, data strategy consultant, and host of the industry podcast Vanishing Gradients.

  • Alex Strick van Linschoten

    ML Engineer @ ZenML

  • Duncan Gilchrist

    Co-founder Delphina. Past: Uber, Gopuff, Wealthfront. PhD Harvard.

  • Isaac Flath

    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.

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