Decoding Azure AI Search with Microsoft Distinguished Engineer Pablo Castro

In this episode, Boaz Ashkenazy interviews Pablo Castro, a distinguished engineer at Microsoft. They discuss Pablo's background and journey at Microsoft, his current work in Azure Open AI and databases, and the practical applications of AI in business. They also explore exciting developments in large language models and address concerns about hallucination in AI systems. Pablo emphasizes the importance of security and responsible AI and shares insights into Microsoft's direction in AI. He also reflects on the mentors who have influenced his career and shares his optimistic vision for the future of work and AI.

Takeaways

Large language models are becoming more sophisticated and capable of reasoning, opening up new possibilities for practical applications in business. Addressing hallucination in AI systems requires grounding the answers in concrete data and involving users in the process. Security and responsible AI are top priorities for Microsoft, with a focus on data management, transparency, and inclusiveness. Microsoft is working on scaling retrieval systems and improving the economics of AI applications to remove barriers for businesses. Pablo Castro highlights the importance of mentors and learning from experienced professionals in shaping a successful career in AI. The future of work and AI is about going further by combining human ingenuity with the capabilities of AI systems to tackle complex challenges and drive progress.

Chapters

00:00 Introduction and Background

02:10 Early Interest in Computers

03:25 First Job and Experience in Application Development

05:29 Working with Azure Open AI and Databases

07:04 Practical Examples of AI in Business

10:09 Exciting Developments in Large Language Models

12:23 Addressing Hallucination in AI Systems

15:48 Ensuring Security and Responsible AI

28:34 Influential Mentors and Career Insights

32:28 Vision for the Future of Work and AI

Connect with Pablo Castro