ChatGPT guide for teachers, including anecdotes from teachers who have been using it in the classroom:
@gdb
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Understanding Raw Tensor Values in Machine Learning
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stare at raw tensor values long enough and you will truly see the matrix
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Debugging Strategy: Detective Work vs Trial and Error
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Debugging is half careful detective work & half throwing spaghetti against the wall. Key to productivity is figuring out when to be in either mode.
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Mathematics and Programming: Beauty Meets Utility
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mathematics is beauty, programming is utility, and their intersection is both at once
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Long-term investments: painful now, worthwhile later
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Long-term investments are extremely painful to make, but extremely worthwhile when they finally come to fruition.
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ChatGPT Enterprise: AI Assistant for Organizational Work
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Announcing ChatGPT Enterprise. A step towards an AI assistant for work that helps with any task, is customized for your organization, and that protects your company data:
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Developer Debugs Complex Stack Issue After Week of Investigation
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Found bug that I've been working on all week. Required leveling up conceptual understanding of a particular area of the stack, building new observability tooling, and running many iterative experiments to isolate the issue. Incredible feeling now that it's fixed.
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Half of Neural Network Unused Yet Produces Reasonable Outputs
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that feeling when you find a bug where half of your neural network wasn't even being used, and yet its outputs still look extremely reasonable
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ML Engineering: Inventing New Design Patterns for Modern AI
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One nice thing about machine learning engineering is that, because the field is so new, you get to constantly invent new design patterns. Classic software engineering wisdom is still quite useful, but there's often great value in figuring out how to apply it in novel ways.