THE LANDSCAPE OF EMERGING AI AGENT ARCHITECTURES FOR REASONING, PLANNING, AND TOOL CALLING: A SURVEY
Key Summary notes
- AI agent architectures are either comprised of a single agent or multiple agents working together to solve a problem.
- Agent Persona. An agent persona describes the role or personality that the agent should take on, including any other instructions specific to that agent
- ReAct. In the ReAct (Reason + Act) method, an agent first writes a thought about the given task. It then performs an action based on that thought, and the output is observed
- Reflexion. Reflexion is a single-agent pattern that uses self-reflection through linguistic feedback
Dify is an open-source LLM app development platform
Beyond LLMs: Agents, Emergent Abilities
1. Agent is able to split / create smaller subtasks
3. Multiple agents created for different purposes
4. Custom Agents / Agent to Agent communication etc..
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