Summary of Podcast #2 | Janu Verma - Senior AI Leader | Microsoft Copilot | AI + Research
In the second episode of the podcast, host Janu Verma, a Senior AI Leader at Microsoft, discusses the evolving landscape of AI, particularly in relation to Microsoft Copilot, and shares insights from his extensive experience in AI research and product development.
Key Technological Concepts and Product Features:
- Microsoft Copilot: Janu is currently focused on enhancing the personalization aspect of Microsoft Copilot, aiming to tailor AI responses based on user-specific data within enterprise environments. This involves leveraging user information to provide more relevant and individualized interactions compared to standard AI models like ChatGPT.
- AI Project Success Factors: He emphasizes the need to ask foundational questions about the appropriateness of AI for specific problems, suggesting that not all challenges require AI solutions. He stresses the importance of aligning AI projects with tangible business needs and available resources.
- Challenges in AI Implementation: Janu reflects on past experiences where modern AI tools could have significantly improved outcomes in areas like natural language understanding, especially in multi-lingual contexts. However, he also points out the limitations of current AI technologies, particularly in recommendation systems, where the application of modern AI has not yet been fully realized.
- Research vs. Product Development: He discusses the shift in research labs towards aligning closely with product needs, highlighting that pure research is becoming less common due to the commercial pressures of delivering viable products.
- Keeping Pace with AI Developments: Janu shares his strategies for staying updated in a fast-evolving field, including following influential figures in AI and participating in reading groups to discuss recent research and developments.
- Future of AI and AGI: The conversation touches on the potential for artificial general intelligence (AGI) and the current limitations of large language models (LLMs) in reasoning and understanding. Janu expresses skepticism about the imminent arrival of AGI, suggesting that while LLMs can solve problems, they do not exhibit true intelligence or reasoning capabilities.
Reviews, Guides, and Tutorials:
- Advice for AI Practitioners: Janu advises practitioners to remain open-minded and continuously seek knowledge beyond just popular AI tools, emphasizing the importance of understanding the underlying science and methodologies to effectively utilize AI technologies.
Main Speakers:
- Janu Verma: Senior AI Leader at Microsoft, with a background in AI and machine learning, and experience in both research and product development.
- Podcast Host: Engages with Janu to explore insights into AI's current state and future directions.
This podcast episode provides valuable perspectives on the intersection of AI research and product development, offering insights into the challenges and opportunities that lie ahead in the field of artificial intelligence.
Notable Quotes
— 10:26 — « I think we are sort of realizing that we do need to kind of go old school right like you know start asking those same questions that we used to ask like maybe 30 years ago. »
— 36:45 — « I think the problem here is the inference cost. »
— 41:22 — « I can imagine a world where there are different types of AI. »
— 55:15 — « I'm not very optimistic that you know in terms of reasoning or AGI. »
— 57:58 — « I don't think it will be very soon. »
Category
Technology