This Week in ML & AI - 6/24/16: Dueling Neura...

In this episode, Scott Clark, co-founder and CEO of Distributional, joins us to explore how teams can reliably operate and improve complex LLM systems and agents in production. Scott introduces a Maslow’s hierarchy of observability: telemetry for logging, monitoring for known sig ...  Show more

In this episode, Philip Kiely, head of AI education at Baseten, joins us to unpack the fast-evolving discipline of inference engineering. We explore why inference has become the stickiest and most critical workload in AI, how it blends GPU programming, applied research, and large ...  Show more

In this episode, I talk with Emmanuel Turlay, Founder & CEO of Sematic, about the pivotal role of AI in Machine Learning infrastructure. Emmanuel shares his expertise in designing and building platforms for Machine Learning pipelines at scale, discussing key components such as da ...  Show more

Artificial intelligence is now a household term. Responsible AI is hot on its heels. Julia Stoyanovich, associate professor of computer science and engineering at NYU and director of the university’s Center for Responsible AI, wants to make the terms “AI” and “responsible AI” syn ...  Show more

The convergence of AI and robotics will unlock a wonderful new world of possibilities in everyday life, says robotics and AI pioneer Daniela Rus. Diving into the way machines think, she reveals how "liquid networks" — a revolutionary class of AI that mimics the neural processes o ...  Show more

The term artificial intelligence, AI, is having a bit of a boom, with the explosion in popularity of tools like ChatGPT, Lensa, DALL•E 2, and many others. The praises of AI have been equally met with skepticism and criticism, with cautionary tales about AI information quality, ...