Part 6/11:
This modular design enables agents to adapt to varying tasks dynamically, making them highly versatile in real-world applications.
Key Differentiators: LLMs vs. AI Agents
The essential distinction is that LLMs are prompt-driven, requiring extensive manual input, whereas AI agents are goal-oriented, capable of autonomous operation through collaborative modules and tools. This shift from reactive to proactive systems marks a significant evolution in AI capabilities.
Industry-Driven Agent Design Patterns
Ash presents four prevalent design patterns in industry: