Understanding AI Workflows: From Concept to Production

In this segment from the NVIDIA AI Infrastructure and Operations Fundamentals course you will learn the phases of a typical AI workflow, used by AI practitioners to develop, train, and deploy an AI model, with the key tasks and typical tools used in each phase.
Artifical Intelligence(AI), is a broad area of knowledge with important foundational concepts such as Machine Learning(ML), Deep Learning(DL) and now Generative AI(GenAI).
In this video we will describe key milestones in the evolution of AI, from its infancy in the 1950's with algorithms to play checkers and tic-tac-toe to the industry-wide transformation introduced by Generative AI.
This video segment was taken from the 'AI Infrastructure and Operations Fundamentals' course from NVIDIA training. To learn more visit: academy.nvidia.com/en/course/...

[@Heisenberg2097]

Hehe. Though certain advances of AI are indeed striking. The crucial flaw of AI is still the same as all years before. Even the experts themselve cannot explain why their systems do what they do. AI winter #3 is already waiting.