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The article explores Dynamic Abliteration, a non-destructive method to suppress refusal behavior in open-weight LLMs like Qwen3-4B at runtime without permanently altering model weights, using multi-layer engram steering via PyTorch forward hooks.
The PyTorch Foundation is inviting academic open source projects to submit for a Day 0 workshop at PyTorchCon North America 2026, where selected projects will present lightning talks and receive hands-on mentorship.
vLLM is introducing hardware-agnostic layers to balance high performance on cutting-edge hardware with portability across different accelerators, addressing compatibility issues with torch.compile.
Introduces hardware-agnostic layers in vLLM to maintain high performance while ensuring portability across diverse hardware, as announced in a PyTorch Foundation blog post.
The article announces PyTorch Conference North America 2026, where Andrey Talman from Meta will discuss modernizing the PyTorch release process, including coordination with Triton and vllm, and the use of AI agentic workflows.
Shopify built a continual learning loop using PyTorch and vLLM to improve their GraphQL agent, reducing costs by 96% and outperforming frontier models through production-driven updates.
TinyTorch is a free, open-source curriculum that allows users to build a machine learning framework from scratch using PyTorch's API, covering tensors through transformers, and is designed to run on basic hardware for educational purposes.
The PyTorch Conference North America will feature live demos on integrating PyTorch with TPUs, Trainium, edge devices, and resilient training on October 20-21 in San Jose.
Valerian Rey from Simplex Lab will present practical techniques for multi-objective optimization using the TorchJD library at the PyTorch Conference North America 2026.
The PyTorch Conference North America in San Jose will feature technical sessions on inference performance and testing infrastructure, with registration open for the AI community event on October 20-21, 2026.
The PyTorch Conference North America is announced, featuring sessions on new optimizers like Muon and TorchJD, tools like fastsafetensors and LMCache, with speakers from major tech companies and institutions, happening in San Jose on October 20-21.
An announcement for a talk at PyTorch Conference North America covering practical implementations of Muon, Dion, and Dion3 optimizers in training stacks.
A step-by-step repository guiding users to build and train a transformer model from scratch using PyTorch, with comprehensive coverage of data processing, training, and post-training techniques like SFT and RLHF.
NVIDIA BioNeMo Inference Runtime accelerates biomolecular structure-prediction models using optimized kernels, CUDA Graphs, and Ray for high throughput while maintaining PyTorch workflow integration.
The post promotes live demos at the Demo Theater during the PyTorch Conference North America, occurring October 20-21 in San Jose, with a schedule and registration links shared.
The PyTorch Conference North America features engineering teams presenting major breakthroughs in torch.compile, custom kernel authoring, and scaling efficiency, with sessions led by experts from various organizations.
Meta Engineering extends FlashAttention-4 with MXFP8 support for NVIDIA Blackwell, achieving up to 2.85 PFLOP/s forward performance and integrating into production training workflows like GEM.
LARA is a research project and PyTorch library that enables modular, composable behaviors for frozen large language models using low-rank residual adapters, allowing efficient training and inference-time blending of multiple behaviors.
At PyTorch Conference North America, Colin Brace will present on AWS Trainium's native integration with PyTorch, detailing technical advancements and ecosystem contributions.
OpenArch is a GitHub repository providing hand-written PyTorch implementations of modern LLM architectures for educational clarity and side-by-side comparison of structural choices.