How ChatGPT Processes a Question: Step-by-Step (From Input to Response) Let’s take a simple example: “What is the capital city of New York State?” At first glance, this looks like a straightforward question. But under the hood, a sophisticated sequence of transformations powered by Transformer architecture takes place. Below is a step-by-step breakdown designed for both general readers and technical professionals. Step 1: User Input (Natural Language) Input: Plain English sentence entered by the user: “What is the capital city of New York State?” Output: Raw text string ready for processing. Step 2: Tokenization (Breaking Text into Units) The sentence is split into smaller units called tokens. Input: Raw text Output (example tokens): ["What", "is", "the", "capital", "city", "of", "New", "York", "State", "?"] Tokens can be words, subwords, or even characters depending on the model. Step 3: Token to Embeddings (Meaning Representation) Each token is converted into a numerical representation called an embedding.…