A language model generates natural-language content by learning patterns in large amounts of text. It can also generate programming code, including code for web pages. section 1.1
Break down the main ideas behind GPT:
- Generative means creating new content, including essays, stories, poems, and code. section 1.1
- Pretrained means learning language patterns from huge amounts of text and programming data. section 1.1
- A practical view is that the model predicts which word or phrase usually comes next. section 1.1
- Transformer describes how the model emphasizes important parts of an input when producing a relevant response. section 1.1
Conversational access turns the model into a practical assistant: request a web-page component, and it can provide relevant code or content. section 1.1


































































