Generative Pre-trained Transformer [GPT]

A type of deep learning[1] model[3] that uses a transformer architecture[2], pre trained on large data[4] sets of un-labelled text, able to generate novel human-like content.

Defined Terms
1. deep learning.

A subset of machine learning that utilizes neural networks with multiple layers to analyze and learn from complex patterns and data.

2. architecture.

The fundamental design of a system that integrates all the parts into a formal and visible structure.

3. model.

A graphical representation of a real-world event or process that needs to be communicated to all parties involved in system development to understand roles, steps, activities and outcomes associated with business events.

4. data.

Numbers, characters, or images in a form which can be assessed by a human or (especially) input into a computer, stored and processed.

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