Tidas chandoopa silva·2h agoI Built a Robot That Learned to Stand Still: Two Honest Negative Results in Low-Cost Social…What a five-seed PyBullet campaign taught me about log-polar vision, reliability-aware attention, and why a 0% collision rate can be the…
Mohammad Atif·4h ago11 Transformer Pipelines, 1 Honest Self-TestHow I went from using models to truly understanding how they work
Venumadhavjidugu·1d agoWord Embeddings Explained: From Bag-of-Words to Word2Vec, GloVe and FastTextMachine learning models only understand numbers, so every NLP system must first turn words into vectors, and the way you do that decides…
Satoro·1d agoBuild LLM from Scratch: Part 2Hi folks! 👋 Welcome to Part 2 of our Build an LLM from Scratch series!
InTowards AIbyVedant Pandhare·1d agoYour Model Passed Safety Evals. Then You Quantized the KV Cache.You compressed your way into a vulnerability nobody was checking for.A response icon1A response icon1
Aditya Inamdar·1d agoGoogle Searched 25,000 Transformer Programs.Inside Primer EZ: squared ReLU, convolutional attention projections, an independent PyTorch implementation, and a surprising failure when…
Mohammad Atif·2d agoTable Question Answering in Transformers: A Simple Guide From Start to EndFor students and developers in Pakistan who want to understand how a model “reads” a table
Mikael Yemane·2d agoA √2 in the attention scale sat silent for 47,213 stepsA stale config key ran every attention head hotter than designed from step one. Why it took that long to matter is a variance calculation.
