How PyTorch powers AI training and inference

What this post added

This post details advancements in PyTorch for AI training and inference, focusing on large language models (LLMs). It covers memory-efficient fine-tuning techniques, architectural and algorithmic approaches for consumer-grade hardware, and challenges and solutions for on-device LLM deployment, including quantization.