Posts in LLM

Top-k and Top-p are sampling techniques that control which candidate tokens an LLM can choose from during generation. Understanding them is important for controlling creativity, diversity, and consistency in AI applications.

LLMs don't process text exactly like humans do. They process text as tokens. Understanding tokenization is essential for understanding context windows, API costs, model limits, and LLM performance.

A context window defines how much information an LLM can process in a single interaction. Understanding context windows is essential for designing reliable chatbots, RAG systems, and production AI applications.