In this episode of Complex Systems, Patrick McKenzie (patio11) and Zvi Mowshowitz discuss how to effectively use Large Language Models (LLMs) for various tasks. They delve into the importance of system prompts for customizing LLM behavior, sharing personal examples of prompts they use. The conversation covers strategies for refining LLM outputs, managing memory features, and using LLMs recursively. They also explore the concept of Generative Engine Optimization (GEO) and the balance between paywalls and open internet accessibility for writers. Additionally, they discuss using LLMs for artistic upskilling, critiquing writing, and even as a sounding board for tone and potential implications in text, emphasizing the importance of experimentation and understanding the limitations of LLMs.
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