The episode examines how large language models (LLMs) like ChatGPT, Grok, and Gemini handle tasks through the concept of tokens and context windows. The discussion centers on how tokenization governs memory usage, cost structure, and the technical trade-offs between local and cloud deployment.

Key insights include a breakdown of what tokens are, how different prompts and chat histories contribute

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