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At JacHacks, a hackathon run by Jaseci Labs at the University of Michigan, the only rule was to build with Jac, a new AI-native ...

Ask the same model the same question twice and you can get two different answers. This lesson shows why, using our own ...

Have you ever wanted to build your own website or software application but didn't know where to start? Grace Branding is ...

I typed one sentence into Claude and got a complete, designed 6-slide PowerPoint — on the free plan. Here's exactly how to do it, ...

Every piece we've built so far, put together into one transformer block, then stacked into TinyGPT: a real GPT-style model trained ...

Part 9 of Machine Learning From Scratch: a complete house-price model. We vectorize gradient descent for all six features (X ...

How does a robot follow a line? Watch a rover get coded in Python, step by step, then follow a black track and stop before it ...

Part 11 of Machine Learning From Scratch: how to really judge a classifier. Why 95% accuracy can be a useless model, the ...

Part 14 of Machine Learning From Scratch: everything we built from scratch, now in a few lines of scikit-learn. The fit/predict API, ...

Part 13 of Machine Learning From Scratch: we teach our neural network. Backpropagation explained with the chain rule, written ...

Part 8 of Machine Learning From Scratch: the algorithm behind almost all of machine learning. We build gradient descent from ...