No Math AI
No Math AI
Podcast Description
No Math AI is a monthly podcast for the AI community and enthusiasts to better understand how AI research translates into real-world business impact—without the complex equations.
Hosted by Dr. Akash Srivastava, Chief Architect at Red Hat AI Innovation, and Isha Puri, AI PhD student at MIT, No Math AI distills critical AI concepts into practical takeaways. Each episode unpacks cutting-edge research and translates it into actionable insights that help practitioners, businesses, and curious minds accelerate their adoption of AI with confidence.
Podcast Insights
Content Themes
The podcast explores various essential topics in artificial intelligence, including inference time scaling, generative optimization, and real-world applications of AI research. For instance, episodes cover scaling large language model inference from leading industry figures and discuss generative AI's impact on engineering design, focusing on how these advancements can accelerate AI adoption in diverse sectors.
No Math AI is a monthly podcast for the AI community and enthusiasts to better understand how AI research translates into real-world business impact—without the complex equations.
Hosted by Dr. Akash Srivastava, Chief Architect at Red Hat AI Innovation, and Isha Puri, AI PhD student at MIT, No Math AI distills critical AI concepts into practical takeaways. Each episode unpacks cutting-edge research and translates it into actionable insights that help practitioners, businesses, and curious minds accelerate their adoption of AI with confidence.
In Episode 3 of No Math AI, Red Hat CEO Matt Hicks and CTO Chris Wright join hosts Akash Srivastava and Isha Puri to explore what it really takes to scale large language model inference time scaling in production. From cost concerns and platform orchestration to the launch of llm-d, they break down the transition from static models to dynamic, reasoning-heavy applications and how open source collaboration is making scalable AI a reality for enterprise teams.
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