Decoding Azure AI Search with Microsoft Distinguished Engineer Pablo Castro

5 snips

May 5, 2024

Pablo Castro, a distinguished engineer at Microsoft, shares his journey from Argentina to shaping Azure AI. He highlights the potential of large language models and the importance of grounding AI to tackle hallucination issues. Pablo emphasizes Microsoft's commitment to responsible AI, focusing on security and data management. He reflects on the invaluable role of mentors in his career and presents an optimistic vision for the future of work, where human creativity and AI collaboration drive progress.

Ask episode

Chapters

Transcript

Episode notes

Intro

00:00 • 2min

A Journey Through Tech: From Argentina to Azure AI

01:56 • 10min

Ensuring Accuracy in AI: Tackling Hallucination and Grounding Techniques

12:23 • 4min

Navigating Language Models and Data Integrity

16:06 • 8min

Navigating AI Security Concerns and Data Management

23:45 • 3min

Building Responsible AI Frameworks

26:44 • 6min

Exploring the Optimistic Future of AI and Human Collaboration

32:47 • 3min

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

⁠LinkedIn⁠

Connect with Boaz Ashkenazy