What's Next with AI- Andrew Ng

💡 AI agentic workflows, championed by Andrew Ng, offer a more iterative and interactive approach compared to traditional non-agentic workflows.
🔍 Agentic workflows yield remarkably better results, as demonstrated by case studies analyzing coding benchmarks.
🔄 Four key design patterns in AI agentic workflows: reflection, planning and multi-agent collaboration, tool usage, and multi-agent debate.
🚀 Agentic reasoning design patterns can significantly boost productivity and expand AI capabilities, paving the way for advancements in AI applications.
⏳ Adoption of agentic workflows requires patience for longer response times and emphasizes the importance of fast token generation for efficient iteration.