Great series on machine learning. Posting for anyone interested in more of the details on the AI’s and LLM’s and how they’re built/trained.
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I’ve been slowly chipping away at this series for months. It’s beyond excellent, but fully digesting everything he’s saying is taking me a while.
I’m also trying to apply each lesson to a side project. I’m failing at most of these projects but it’s helping me cement the lessons and intuitively understand what approaches work, what not, and why.
