There is an enormous amount of jargon in deep learning, including terms like rectified linear unit. The vast vast majority of this jargon is no more complicated than can be implemented in a short...
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Reading fastbook, I get the sense we could teach math more effectively if we did so through spreadsheets and Python code.
Current theory on why nbdev and notebooks in general make sense and can work: Writing code for most software is actually pretty similar to writing code for models, but usually you pay less of a cost...
There are many tools for doing evals. I used ell and braintrust together for fun and disaster. The integration is actually not terrible, though I'm not 100% whether they'd be obvious things to try...
Some quotes from Lesson 3 of course.fast.ai by Jeremy Howard. I remember a few years ago when I said something like this in a class somebody on the forum was like "this reminds me of that thing about...
I tried to use aider to build a crossword generator in Python. Even with a preselected set of words, this proved difficult. Or perhaps the preselected set of words was why it was difficult. Either...
One of the most painful lessons beginners have to learn is just how often everyone is wrong about everything. Imagine a spreadsheet where every time you change something you must open a terminal, run...
Erik wrote about how it's hard to write code for humans. Getting started is the product!
Cool article by Jacob on a blog re-write to Astro. I've been getting a bit of a re-write itch lately but I don't want it to be a distraction. Might need to wait until the end of the FastAI course...
Several interesting releases today/recently.