Scott Hanselman: Semantic Kernel - Episode 280

In this episode of Semantic Kernel, Scott Hanselman, a renowned teacher and Vice President at Microsoft, shares his expertise on a wide range of topics, including artificial intelligence, data privacy, and large language models. As a seasoned coder and podcaster, he imparts valuable insights on how developers can improve their skills and tackle complex issues.

During the conversation, Hanselman stresses the importance of understanding context and learning the basics of AI. He also touches upon the responsibility of developers when it comes to website or model failure, emphasizing the need for grounding AI in reality to mitigate the risk of such events. Additionally, he explores the growth in size and complexity of AI transformer models, along with the integration of large language models into conventional programming languages.

The Semantic Kernel episode also delves into concerns around data privacy in smart homes and offers actionable advice for developers looking to explore semantic kernel and its features. With over 900 episodes of his Hanselminutes podcast and over 750 episodes of Azure Friday, Scott Hanselman is a seasoned expert and an excellent resource for developers to learn from.

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