Presenting the Landscape of AI Agent Architectures @ AIM
In this session presented to the AIM Community, I dive into the key considerations when selecting or creating an agent frameworks! We will examine the design choices, strengths, and limitations of different agent frameworks to complete complex tasks that require enhanced reasoning, planning, and tool execution capabilities.
🦾 During the session you’ll learn:
- The core components and taxonomy of AI agent architectures.
- Explore the critical role of reasoning, planning, and effective tool calling in enabling agents to tackle complex, multi-step problems.
- Gain insights into the trade-offs and best practices for selecting suitable agent architectures based on task requirements and desired outcomes.
- Recognize the current limitations and future research directions in the field of AI agent systems.