(Source: btlaw.com)

GPT (Generative Pre-trained Transformer) is a language generation model developed by OpenAI. It was first released in 2018 and has been improved with each new version.

What is GPT?

GPT is a machine learning model trained to generate text. It works by predicting the next word in a sequence based on what came before. Give it "The cat sat on the" and it predicts "mat." Scale that up, and you get something that can write paragraphs, answer questions, and carry on conversations.

What makes GPT different from earlier language models is the quality of its output. The text is coherent and reads naturally. This comes from the transformer architecture, introduced in the paper "Attention is All You Need", which lets the model process input of any length and pay attention to relevant context throughout.

GPT is also pre-trained on a huge dataset, which helps it pick up on how language actually works, including idioms, tone, and context.

Why it matters

GPT changes how we can interact with computers. You can have a conversation with it, generate drafts of articles, summarize long documents, or translate between languages. These aren't hypothetical use cases anymore. People are doing all of this right now.

Practical applications include automating customer service responses, improving machine translation quality, and building AI assistants that can handle complex, multi-turn conversations. The model isn't perfect, but it's good enough to be useful across a lot of tasks.

The pace of improvement has been fast. Each new version handles more context, makes fewer errors, and handles more complex instructions. It's worth paying attention to where this goes.