Learn how to set up a Windows dev environment for AI development using WinGet. Follow step-by-step guides to fine-tune local language models (LLMs) with WSL, Python, and training tools like OLive. Build .NET apps that use customized LLMs with your data, leveraging ONNX and techniques like retrieval-augmented generation (RAG). Master end-to-end AI workflows on Windows.

As AI models become increasingly power-hungry, AMD tackles the escalating energy demands with bold goals like 30×25 and a 100x efficiency target by 2027. This article explores AMD’s multi-pronged strategy combining silicon innovations, advanced packaging, system-level optimizations, and hardware/software co-design to bend the curve of AI’s insatiable thirst for electricity.