For better AI agents, we just need bigger models, right? 🤔
Nah.
They just need to all work together in a society.
That's Ece Kamar's take. And she should know. She's been working in the AI agent field for two decades, long before the birth of the modern large language model.
So what's the next step for your company to embrace agents? Focus on smaller agents working and sharing, not one jumbo model working in a silo.
Tune in and find out how to make it work.
Inside the Society of Agents: Why AI Teamwork Beats Bigger Models -- An Everyday AI Chat with Jordan Wilson and Microsoft Research's Ece Kamar
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Topics Covered in This Episode:
- Society of Agents vs Bigger AI Models
- Agentic Teamwork Advantages Explained
- Evolution of Agents at Microsoft Research
- Real-World Multi-Agent Collaboration Use Cases
- Emergence of Action-Oriented Reasoning Models
- Designing Business Workflows for Agentic AI
- Multi-Agent Oversight and Risk Management
- Future Ecosystems and Agentic Business Models
Timestamps:
00:00 "AI Agents: Decades to Breakthroughs"
05:44 Collaborative AI Agents Transform Work
08:13 "AI Models Learning to Act"
12:49 "Transforming Workflows with Generative AI"
16:49 "Human Value in Tech Change"
20:30 "Autonomous Agents: Resilient Actions"
21:37 "Multi-Agent Strategy for Oversight"
26:04 "Integrating Memory into Models"
29:28 "Future Ecosystems and Business Models"
Keywords:
society of agents, multi-agent systems, agentic society, AI teamwork, agentic workflows, AI agents, team of agents, multi-agent approach, agent-based models, agentic models, reasoning models, large language models, reinforcement learning, collaboration between agents, autonomous agents, agentic behavior, orchestration, agent communication, a
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