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HERMES & CLAWDBOT: Under the Hood
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Module 1
Agent Architecture & Behavior
1
AI Agent's Core Loop: Tools & Memory
Explain the core action loop of an AI agent, including tool use and persistent memory.
2
LLM Backend Trade-offs: Capability, Cost, and Privacy
Analyze the trade-offs (capability, cost, privacy) of using different LLM backends like Claude, GPT, and local models.
Diagnosing Agent Failures: Hallucinations & Misinterpretations
Diagnose common agent failure modes, such as hallucination and misinterpretation of commands, using real-world examples.
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