Sarah Catanzaro — Remembering the Lessons of the Last AI Renaissance
Gradient Dissent: Conversations on AI
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Is There a Moment of Bundling in ML Development?
A lot of the slivers are getting tinier. You start to see things like model deployment solutions or like computer vision and perhaps some subset of like computer vision architectures where you might think to yourself like, okay, I understand why the existing tools are maybe not like optimal for that specific use case but that's really narrow. A friend put it to me about like a year ago, he basically said he feels like vendors are handing him a steering wheel and an engine and a dashboard and saying like build a fast, safe car. And those components might not even sit together. There's no instruction manual. It's tougher to make those decisions when like practices and workflows are so fragmented and heter
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