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Discover what Large Language Models (LLMs) are and how they power Generative AI. Learn about pre-training, fine-tuning, and the Transformer architecture.

Monitoring **PyTorch GPU memory usage** during model training can be perplexing. To demystify this, we'll dive into the **PyTorch memory snapshot** tool, a powerful utility for detailed **GPU memory ...

Unlock the full potential of your CUDA kernels by mastering memory coalescing with TiledCopy. This article dives deep into optimizing data transfers from Global to Shared Memory on NVIDIA GPUs, covering cp.async, row-major vs. column-major layouts, and cache line alignment to maximize memory bandwidth and accelerate your deep learning workloads.

Discover how linear layers enable multi-head attention in Transformers, powering advanced NLP models with parallel processing and rich representations.