PyTorch's built-in GELU function is 20% faster than a hand-rolled version when training GPT-2 small models, according to a developer's benchmark. The same code training the same model on the same data…
PromptCube, a vertical threaded community platform, serves AI practitioners by organizing discussions into categories such as AI Models, prompting techniques, and deployment architectures, enabling a …
Cerebras Systems' CS-4 rack achieves 85% model flops utilization (MFU) on a 400B parameter training run across 16 systems, compared to 30-40% for traditional GPU clusters, thanks to the WSE-3's on-waf…
A new arXiv paper (2608.17087v1) introduces telos, a PyTorch library providing an algebra-generic, differentiable evaluation engine for linear temporal logic, enabling gradient-based training of softl…
Philip Kiely's new book, 'Inference Engineering,' is now available as a digital download, offering a comprehensive guide to the technologies and techniques powering AI inference across runtime, infras…
Helsing, a defense technology company developing AI-enabled drone software, is hiring a Machine Learning Engineer for Detection and Tracking in Washington, DC, to own the detection and tracking models…
Jump Trading Group is hiring a Research Scientist/Research Engineer for its reinforcement learning team in Chicago, New York, or London, offering an annual base salary of $200,000–$350,000. The role i…
Hugging Face Community, Reddit r/MachineLearning, Stack Overflow, PromptCube, Dev.to, Kaggle, and official Discord servers are the best dedicated forums for AI practitioners, offering searchable, arch…
NVIDIA introduced the ALCHEMI Toolkit, a PyTorch-native suite for GPU-accelerated atomistic simulations with machine learning interatomic potentials, and demonstrated that AI coding agents can build s…
Apertura, a from-scratch Objective-C++/MLX rebuild of Google's Gemma-4 for Apple Silicon, runs the entire Gemma-4 text family natively on a Mac with bit-exact conformance to the PyTorch reference, ach…
A practical guide outlines a learning path for AI in 2026, emphasizing an engineering-level approach over deep research. The author recommends starting with essential mathematics and PyTorch projects,…
The vLLM ecosystem is shifting from batch-oriented inference to disaggregated prefill/decode serving to handle agentic traffic, a theme central to the first vLLM Conference scheduled for August 24-26,…
NVIDIA has unveiled NOOA (NVIDIA Object-Oriented Agents), an open-source framework that models AI agents as single Python classes, unifying capabilities, state, prompts, and memory. The framework's de…
A user reports that ComfyUI on an AMD RX 9070XT with ROCm and PyTorch remains the best combination, and describes creating a bash build script to generate Docker images with specified versions of ROCm…
Stripe, LLC. is hiring a Machine Learning Engineer in South San Francisco, CA, with a salary range of $212,000–$318,000 per year, to design and deploy ML models for underwriting and portfolio manageme…
PyTorch developers can eliminate GPU idle time caused by CPU bottlenecks by using multi-process data loading with `num_workers` set to the number of CPU cores, `pin_memory=True`, and binary formats li…
LanceDB's guide to data loading for AI/ML explains the process of moving data into algorithms, focusing on PyTorch and LanceDB, and covers the I/O and CPU stages, noting that I/O is rarely the bottlen…
A new arXiv preprint (2608.13889v1) presents a consensus-gated multi-agent neural architecture search (NAS) system that uses three large language models (Claude, GPT-5.1, and Gemini 2.5 Pro) to debate…
A new C++ implementation of NVIDIA's Sana 0.6B text-to-image model, named Sana.cpp, runs approximately 4.8 times faster than the PyTorch pipeline on Apple Silicon CPU. The project, developed by GitHub…
A developer's ongoing 32-week project to understand AI inference reached Phase 2, focusing on tensors, the core data structure of machine learning models. The developer demonstrated creating tensors i…