PyTorch
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Paper page - Molt: A Scalable PyTorch-Native Training Framework for Agentic Reinforcement Learning
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Profiling in PyTorch (Part 1): A Beginner's Guide to torch.profiler
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
CNCF and PyTorch communities come together at KubeCon + CloudNativeCon China 2026: CFP now open
The cloud native, open infrastructure, and AI communities are coming together this year at one of Asia’s flagship open source events. KubeCon + CloudNativeCon + OpenInfra Summit Asia + PyTorch…
Scale Biology Transformer Models with PyTorch and NVIDIA BioNeMo Recipes | NVIDIA Technical Blog
Training models with billions or trillions of parameters demands advanced parallel computing. Researchers must decide how to combine parallelism strategies, select the most efficient accelerated…
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Show HN: PyTorch on Java
The smile-deep module provides idiomatic Java API for deep learning on the JVM while still reaching CPU, CUDA, and MPS backends by wrapping the PyTorch / LibTorch C++ runtime. It also provides tiktoken BPE tokenizer, LLa…
Show HN: We built an LLM inference engine in pure Python – no PyTorch, no Triton
Show HN: We built an LLM inference engine in pure Python – no PyTorch, no Triton
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What’s Next?
Get started with interactive chat-generation models using Intel Extension for PyTorch and DialoGPT. Download and try the Intel AI Analytics Toolkit and Intel Extension for PyTorch for yourself to build various end-to-end AI applications. We encourage you to also check out and incorporate Intel’s other AI/ML Framework optimizations and end-to-end portfolio of tools into your AI workflow and learn about the unified, open, standards-based oneAPI programming model that forms the foundation of Intel’s AI Software Portfolio to help you prepare, build, deploy, and scale your AI solutions. For more de
Build an Interactive Chat-Generation Model with DialoGPT & PyTorch