I Trained a 6.4M-Parameter Transformer From Scratch to Talk About Recipes
Every LLM-powered app I'd built up to this point followed the same recipe (pun intended): call an API, write a good prompt, wrap it in a nice UI. That…
Architecture
⚑ Report a ProblemLatest Architecture news from Tech News
All topics
agents
ai
api
architecture
automation
aws
backend
beginners
career
database
devchallenge
devops
discuss
javascript
llm
machinelearning
mcp
opensource
performance
productivity
programming
python
react
security
showdev
softwareengineering
systemdesign
tutorial
typescript
webdev
Channels-last memory format cut our conv backbone latency 22%
TL;DR: Switching our convolutional segmentation backbone to PyTorch's channels-last memory format cut inference latency by about 22% on A100s, with no…
The SDXL VAE overflow that decoded black images in fp16
TL;DR: The SDXL VAE decoder pushes activations past 65504, the max value fp16 can hold, so the last decode step overflows to inf and you get a fully b…
Why JAX Is a Much Better Backend for Quantum Circuit Simulation Than PyTorch
Modern quantum circuit simulation is not just “machine learning with complex tensors.” It involves irregular tensor contractions, sparse operators, st…
AI Coding Tools for Machine Learning Engineers in 2026: Jupyter, PyTorch, and the CUDA Trap
This article was originally published on aicoderscope.com ML engineers aren't software engineers who happen to write some Python. They live in noteboo…
From Bayesian to deep knowledge tracing — upgrading NumPath's student model with a PyTorch LSTM
BKT told us how well a student knows subtraction-with-borrowing. It had no idea that a student who reverses digits on subtraction problems probably al…
QAT vs PTQ on our edge vision model: 6 months of A/B data
TL;DR: We ran post-training quantisation (PTQ) and quantisation-aware training (QAT) side by side on the same defect-classification model deployed on …
I Built a Diagnostic Toolkit for PyTorch Because I Was Tired of Guessing Why Models Fail
Every time a PyTorch model refuses to learn, the debugging process looks the same: Stare at the loss curve Wonder if gradients are flowing Add print s…
Why your diffusion model is slow at batch size 1 (and what actually helps)
TL;DR: Single-image diffusion inference is bottlenecked by kernel launch overhead and attention memory traffic, not raw FLOPs. torch.compile with mode…
Использование машинного обучения в работе с SolidWorks (2 часть): тестирование и практическое применение
В прошлой статье я поделился своими наработками в области работы ИИ с CAD-программами (в моём и нашем случае, SolidWorks). В этот раз поделюсь п…
Использование машинного обучения в работе с SolidWorks (1 часть)
Работа инженера-конструктора, помимо творчества, порой заставляет заниматься рутинными задачами, которые отнимают время, силы. Столкнувшись с постоянн…