Overview Imagine teaching a computer to understand writing by giving it only letters, nothing else. Researchers built a simple model that processes text one ch...

Going beyond the math to build intuition The post RoPE, Clearly Explained appeared first on Towards Data Science....

markdown !Cover image for Get Started With Image Classification in Kaggle using Pythonhttps://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravit...

Why modeling SKUs as a network reveals what traditional forecasts miss The post Time Series Isn’t Enough: How Graph Neural Networks Change Demand Forecasting ap...

Using the ReLU Activation Function In the previous articles we used back‑propagation and plotted graphs to predict values correctly. All those examples employe...

The Right Way to Measure Axiomatic Non‑Sensitivity Why your XAI metric might lie to you — and how we fixed it If you’ve ever tried to actually measure how stab...

Article URL: https://www.tuned.org.uk/posts/013_the_topological_transformer_training_tauformer Comments URL: https://news.ycombinator.com/item?id=46666963 Point...

Why your final LLM layer is OOMing and how to fix it with a custom Triton kernel. The post Cutting LLM Memory by 84%: A Deep Dive into Fused Kernels appeared fi...

A multi-tier approach to segmentation, color correction, and domain-specific enhancement The post From RGB to Lab: Addressing Color Artifacts in AI Image Compos...

It turns out the inverse of the Hessian of a deep net is easy to apply to a vector. Doing this naively takes cubically many operations in the number of layers s...

Observing Representation Instability During Neural Network Training While experimenting with neural network training behaviors, I noticed a recurring pattern t...

What is Attention in AI? Attention works like a highlighter for a language model. When you study, you underline the parts of the text that are important for th...