Scott Hanselman's Interviews
Scott Hanselman: Semantic Kernel - Episode 280
Scott Hanselman is a teacher at heart. He speaks all over to whoever will listen. He's written code that you, dear listener, has used. Scott has been blogging, coding, and podcasting a LONG time. He codes, writes, speaks, empowers, promotes, braids, learns and listens - usually not in that order. And he's a Vice Presid
Reducing barriers to AI with Guillermo Rauch
In this episode, Scott Hanselman talks to Guillermo Rauch, the founder of Vercel. Guillermo shares his vision of creating a platform that enables anyone to build and deploy powerful AI applications with ease and speed. Scott and Guillermo explore the challenges and opportunities of democratizing AI, and how Vercel is
Introducing TypeChat with Anders Hejlsberg
Scott talks to Anders Hejlsberg about a new open-source project called TypeChat that uses TypeScript types to generate structured AI responses from natural language requests. The library is designed to integrate large language models into existing app interfaces and make them safer and more reliable.
A diverse career with Veni Kunche
Veni Kunche is a coder, a maker, and a founder. After working as a Software Engineer since 2003, she quit her job in tech to start her own company, https://www.diversifytech.com!
Towards Trustworthy AI with Beena Ammanath
Trustworthy AI is an essential resource on artificial intelligence ethics for business, government, and society at-large. In her book, Beena Ammanath draws from her extensive experience across several industries and sectors in data, analytics and AI, the latest research and case studies, and the pressing questions and
Rachel Lim on Fine Tuning OpenAI
OpenAI has the ability to create custom versions of GPT-3 tailored for a developer’s application. Developers can use these fine-tuned iterations of GPT-3 subsets to efficiently produce results specific to their workloads with a single command. Scott talks to Rachel Lim from OpenAI about how these large language models