Unsloth, an open-source AI startup, released Unsloth Studio (Beta), a platform that lets users run and train text, audio, embedding, and vision models locally on Windows, Linux, and macOS, with suppor…
A developer has published a dependency-ordered glossary of large language model terminology, designed to be read sequentially so each concept builds on previously explained ones. The glossary covers t…
A developer detailed the performance overhaul of AURA, a desktop AR companion that reads facial expressions and hand gestures. The project reduced its cold launch time from about 35 seconds to 1.5 sec…
ASOS, the online fashion retailer, is hiring a Machine Learning Engineer for its Search & Recommendations team in London, UK, with a hybrid work model. The role involves building and maintaining produ…
Researchers introduced TAGTorch, an open-source PyTorch-based library that unifies tools for geometry, topology, and symmetry-aware machine learning, addressing the fragmented software ecosystem in th…
Researchers introduced DFSC, a PyTorch environment for fractional scientific machine learning that uses the Mittag-Leffler Spectral Layer to separate known fractional propagation from data-driven corr…
Adobe is hiring a Machine Learning Engineer in Bangalore to build and train models for creative understanding across vision, video, and language, supporting its Content Intelligence group. The role re…
A developer released a PyTorch implementation of the Kimi K3 architecture from the arXiv paper 'Kimi K3: Open Frontier Intelligence' (arXiv:2607.24653v1), reproducing the paper's Table 1 parameter cou…
A developer explains the critical difference between PyTorch's permute, transpose, and reshape operations, warning that reshape can silently scramble image data when converting from (N, H, W, C) to (N…
PyTorch's DistributedDataParallel (DDP) enables multi-GPU training by synchronizing gradients across all GPUs via AllReduce, ensuring each GPU maintains identical model weights. The article explains t…
A developer detailed the construction of secure, local-first AI assistants using Go for orchestration and Rust for inference execution, addressing latency, privacy, and offline operation concerns. The…
Quitetall released Tritium 1.1.0-rc.0, an Apache-2.0 infrastructure for converting dense neural networks into compact additive-ternary models with weights in {-1, 0, +1}, supporting training, inferenc…
A developer's experiment replacing 30 lines of Rasterio with 30 lines of TorchGeo for a Sentinel-2 tile workflow (loading, clipping to AOI, computing NDVI, preparing patches) found both libraries achi…
TextGrad, a framework for automatic 'differentiation' via text feedback from large language models, was published in Nature on 19th March 2025. The framework, which implements backpropagation through …
NVIDIA's Transformer Engine accelerates transformer training on Ampere and newer GPUs by fusing kernels and using BF16/FP8 computation, with FP8 support limited to compute capability 8.9 or higher. Th…
A developer outlines a practical, phase-by-phase roadmap for becoming an AI/ML engineer, emphasizing hands-on projects and real-world deployment over tutorial-based learning. The guide covers fundamen…
Postman, the API platform used by over 45 million developers and 500,000 organizations, is hiring an AI Engineer Intern in Berkeley, California, to work on large-scale AI and agentic systems from data…
Fireworks AI, a Series D company valued at $17.5 billion, is hiring an AI Product Engineer for its Fireworks Nexus platform, which routes AI workloads from expensive proprietary models to open models …
A new chapter on transformer models explains that training and inference use the same PyTorch code but differ fundamentally: training processes fixed-length batches with backward passes, while inferen…
WASTE, an embeddable inference engine written in C with no third-party runtime dependencies, runs the complete open-weights Kimi K3 model—2.78 trillion parameters in a 982 GiB container—on a 64 GB Mac…