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…