MLOps.community The Agent Landscape - Lessons Learned Putting Agents Into Production
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Feb 20, 2025 Paul van der Boor, VP of AI at Prosus Group, and Floris Fok, AI Engineer at the same group, dive into the evolving landscape of AI agents. They discuss the transition from basic models to interactive systems, exploring integration challenges akin to building a Mars Rover. The duo shares insights on generative AI risks and security innovations, the unique roles of AI engineers, and the critical balance between advanced capabilities and user-friendliness. With lessons from over 20 projects, their conversation is packed with practical takeaways for anyone in AI.
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What is an AI Agent?
- AI agents are LLMs that interact with the world, like accessing the web or APIs.
- This interactivity expands their capabilities beyond isolated reasoning engines.
Building Agents is Like Building a Mars Rover
- Building AI agents is like building a Mars rover, where the LLM is the Raspberry Pi.
- Connecting it to sensors, memory, and action components is the challenge.
Agent Development Considerations
- When building AI agents, consider evaluation difficulty, latency requirements, and cost.
- These factors significantly impact production feasibility and user experience.