Agents
📰 Chip Huyen's Blog
Learn about intelligent agents, the ultimate goal of AI, and how foundation models enable agentic applications
Action Steps
- Define the characteristics of a rational agent using the framework by Stuart Russell and Peter Norvig
- Explore the capabilities of foundation models and their potential for agentic applications
- Design an autonomous system using foundation models and intelligent agents
- Evaluate the potential benefits and challenges of implementing agentic applications
- Research existing examples of agentic applications and their impact on various industries
Who Needs to Know This
AI researchers and engineers can benefit from understanding intelligent agents to develop autonomous applications, while product managers can leverage this knowledge to design innovative products
Key Insight
💡 Intelligent agents are the key to developing autonomous applications, and foundation models provide the necessary capabilities
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🤖 Intelligent agents are the ultimate goal of AI! 🚀 Foundation models enable agentic applications that were previously unimaginable
Full Article
Intelligent agents are considered by many to be the ultimate goal of AI. The classic book by Stuart Russell and Peter Norvig, Artificial Intelligence: A Modern Approach (Prentice Hall, 1995), defines the field of AI research as “ the study and design of rational agents. ” The unprecedented capabilities of foundation models have opened the door to agentic applications that were previously unimaginable. These new capabilities make it finally possible to develop autonomous
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