Tech

Day 75 of 100 Days of AI

Michael Tefula

Jun 8, 2024 — 1 min read

I’m travelling today, so no code. On days of no-code, I read about AI. The topic today: what does a Machine Learning Engineer (MLE) do at work?

Hacker News has an insightful thread about this with comments from people in the industry who are MLEs. Below are a few highlights.

It turns out, a MLE’s job is mostly about ensuring you don’t have garbage-in / garbage-out with regards to the data you train your modes on. The actual work of fitting models to data is a smaller fraction of a MLE’s job.

Open Problems (& Opportunities) for AI: Summary Notes from the Conference

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The Software Engineer is Dead, Long Live the Software Engineer!

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Day 99 of 100 Days of AI

I switched one of my AI agents projects from GPT-4o to the new Claude 3.5 Sonnet model. The agents now run with a cost that’s roughly 85% cheaper and the final results arrive about 15% faster. To upgrade my AI agents project, all I had to do was

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Open Problems (& Opportunities) for AI: Summary Notes from the Conference

The Software Engineer is Dead, Long Live the Software Engineer!

Day 100 of 100 Days of AI 🎉

Day 99 of 100 Days of AI