Part 11 of the AI Agents crash course introduces the Planning agentic pattern, focusing on implementing it from scratch using Python and a Language Learning Model (LLM). The post highlights the importance of structured planning to improve the thoroughness of LLM decisions, covering recent research, the Planning loop pattern, and best practices. It also includes detailed instructions for creating a system prompt and a lightweight agent class, along with examples of both manual and automated Planning loops.
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