In this episode, I talk with Bas Brekelmans, CTO of Copilot Studio. The conversation covers the evolution of conversational AI models, challenges in managing and deploying the latest models, the impact of model evolution on performance and security, and the shift in building agents from specific workflows to evaluating expected outcomes. The discussion also delves into the history and evolution of conversational AI, early models and innovation, challenges of model management, model selection and orchestration, security and guardrails in model orchestration, performance and latency in model orchestration, and the evolution of building agents. The conversation delves into the impact of AI models on engineering discipline, the transition from traditional development to model training, and the evolution of skill sets in natural language understanding. It also explores the role of language proficiency in AI development and the evolution of AI systems and models.
Takeaways
Evolution of conversational AI models
Challenges in managing and deploying the latest models
Impact of model evolution on performance and security
Shift in building agents from specific workflows to evaluating expected outcomes Nudging AI models
Transition from traditional development to model training
Chapters
00:00 Evolution of Building Agents
30:06 Automating Reordering and Over-Engineering
36:12 Evolution of Engineering Discipline
41:33 Transition to Managerial Role in AI Development
48:10 Evolution of AI Systems and Models