What drives the eerily human-like capabilities of large language models like GPT-3? Their artificial "minds" operate on a simple principle - predicting the next most likely token. Understanding these basic mechanics provides the key to unlocking their full potential through prompt engineering.
Memory makes us human. Yet modern language AIs like GPT Models exhibit remarkable fluency without any human-like memory. How do they generate coherent text without the episodic memory fundamental to our own cognition? This article illuminates the inner workings and memory limitations of LLMs.