GitHub

TurboQuant PyTorch — Implementation + Deep Tutorial

A from-scratch PyTorch implementation of TurboQuant (ICLR 2026), Google's two-stage vector quantization algorithm for compressing LLM key-value caches — enhanced with a comprehensive, research-grade ...
Developer Tech

Google TorchTPU enables native PyTorch AI execution

Google has launched TorchTPU, an engineering stack enabling PyTorch workloads to run natively on TPU infrastructure for ...
Computer Weekly

PyTorch Foundation lights up welcomes for Helion & Safetensors

The PyTorch Foundation also welcomed Safetensors as a PyTorch Foundation-hosted project. Developed and maintained by Hugging ...
diginomica

PyTorch Foundation adds Helion and Safetensors - and the open AI stack gets a little harder to ignore

Mark Collier briefed me on two updates under embargo at KubeCon Europe 2026 last month: Helion, which opens up GPU kernel ...
Windows Report

Visual Studio Code Adds Built-In Copilot Chat and Agent Debug Logs

Microsoft has released Visual Studio Code version 1.116, introducing a set of AI-focused improvements that refine developer ...
GitHub

PyTorch Compliance-as-Code

Compliance is an evidence problem. Regulators don't accept promises — they need proof traceable to specific code, checkpoints, and decisions. This project makes that proof machine-readable using only ...
marktechpost

Safely Deploying ML Models to Production: Four Controlled Strategies (A/B, Canary, Interleaved, Shadow Testing)

Deploying a new machine learning model to production is one of the most critical stages of the ML lifecycle. Even if a model performs well on validation and test datasets, directly replacing the ...