Easy GPT vs BERT Question 20 of 223

What does GPT stand for and what is it trained to do?

GenAI / LLM · Speak this in 60–90 seconds · Faridabad & Delhi NCR

The model does not read letters like humans. It reads these pieces, then predicts the next one.

GPT stands for Generative Pre-trained Transformer.

LLMs use tokens (not full words) because it helps them:

GPT vs BERT questions

separate people who only read docs from people who shipped.

Keep it short, concrete,

and tied to GenAI / LLM work.

Stable token IDs

Each piece maps to a number the network can learn.

Fits the model

Fixed pieces are what transformers expect as input.

Before the model can read a sentence, it goes through these steps:

1
GPT stands for Generative
Pre-trained Transformer.
2
It is trained to
predict the next token given previous tokens.
3
That objective makes it
a strong open-ended generator for chat, code, and writing.
4
Context mix
Attention looks at nearby tokens together.
5
Next token
The model scores what should come next.
6
Decode
IDs turn back into readable text.

Let's see how a real sentence is tokenized (tokens may vary by model):

Input text

“It is trained to predict the next token given previous tokens.”

Tokenized output

Itistrainedtopredictthe

Token IDs (example)

2987408337471632900

Note: Actual tokens and IDs depend on the tokenizer (e.g., GPT, Llama, etc.).

GPT stands for Generative Pre-trained Transformer. It is trained to predict the next token given previous tokens.