allowing us to train GPT using consumer-grade GPUs at a lower cost. Recently, blogger Lorentz Yeung published a blog that ...

By using PyTorch — a popular open-source AI library — Dr. Betgeri was able to implement automatic differentiation, allowing ...

Learn how to use Cursor AI to debug faster, code smarter, and focus on building innovative solutions. Explore how AI coding tools allow anyone ...

Learn how to fine-tune GPT-OSS efficiently with LoRa and quantization. A beginner-friendly guide to optimizing AI models on ...

Claude Desktop tutorial In this Claude Desktop tutorial, you will learn how to download and install the new LLM tool, and how to write prompts that demonstrate the capabilities and limitations of the ...

Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...

In this tutorial, the application of large language models (LLMs) in replicating complex remote sensing algorithms is explained, using permanent scatterer interferometric synthetic aperture radar ...

Because PyTorch uses oneDNN by default on CPU. Whenever you use framework, AMX gets used whenever possible.

This work introduces an approach for precisely designing surface friction properties using a conditional generative machine learning model, specifically a denoising diffusion probabilistic model (DDPM ...

Physical, health, and environmental hazards of chemical substances are classified into hazard classes in the Globally Harmonized System of Classification and Labeling of Chemicals (GHS). Within each ...