2 docs tagged with "neural networks"

In a recent presentation, Andrew Ng highlighted the evolution of AI agents as a critical trend for AI developers. He emphasized the shift from a non-agentic workflow, where an AI generates a single output, to an agentic workflow, which involves iterative processes such as drafting, researching, and revising to achieve significantly better results.

Andreu, a renowned computer science professor at Stanford and creator of Coursera and Google Brain, discusses the exciting trend of AI agents. Traditional AI models work in a non-agentic workflow, where a prompt generates an answer. This is akin to typing an essay without using backspace. In contrast, an agentic workflow involves iterative processes like outlining, researching, drafting, and revising, leading to remarkably better results.