Picture this: you build a fraud detector, run it on a million transactions, and it scores a glorious 99.8% accuracy. You …
Abhay
4 min read
Most machine learning is taught with flashcards. You show the model a photo labelled “cat,” it guesses, you …
Abhay
5 min read
Imagine stacking ten layers of neurons, training for hours, burning through GPU credits — and ending up with something …
Abhay
4 min read
Ask a classifier “what’s in this photo?” and it answers, confidently, “a cat.” Helpful. …
Abhay
4 min read
There’s a seductive myth in machine learning: that the path to a better model runs through a fancier algorithm. …
Abhay
5 min read
A regular neural network has the memory of a goldfish. Show it an image of a cat and it’ll confidently say …
Abhay
5 min read
A language model is brilliant at language and hopeless at facts that aren’t in its head. Ask it today’s …
Abhay
4 min read
Imagine a dataset with a thousand columns. Customer records, gene expression levels, pixel intensities — pick your …
Abhay
5 min read
Full fine-tuning a large language model is a bit like repainting your entire house because you wanted the bathroom door …
Abhay
4 min read
You already know what a learning rate is: the size of the step your model takes downhill each time it learns. What …
Abhay
4 min read