LLM Fundamentals: How Large Language Models Work
SMRTR summary
Large Language Models (LLMs) process text as tokens within context windows, limiting their information scope. Model outputs are controlled through parameters like temperature, top-p sampling, and frequency/presence penalties. These fundamentals influence performance and pricing, typically calculated per thousand tokens. Understanding these mechanisms helps users balance creativity, accuracy, context length, and cost when using LLMs.
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