By the end of this lesson, you will understand what a context window is in large language models (LLMs), why its size significantly impacts their performance on real-world tasks, common limitations like the 'lost in the middle' problem, and advanced techniques used to manage or extend effective context.
Despite their apparent intelligence, LLMs can 'forget' information presented just moments ago if it falls outside their context window.
An LLM processes text sequentially, token by token.