This is a clear and structured introduction to the basics of agent systems.
🟢 What it Covers:
- agent architecture and its main components
- the role of LLM as the "brain" of the agent
- connecting and using tools
- orchestration of multiple agents
- approaches to deployment and production integration
- metrics and methods for evaluating performance
- how self-learning and evolving agents are created
- example architecture AlphaEvolve
Guide
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