Architecture

GPT (Generative Pre-trained Transformer)

A series of large language models developed by OpenAI that power ChatGPT and many AI applications worldwide.

GPT (Generative Pre-trained Transformer) is a series of large language models developed by OpenAI. The name describes the architecture: Generative (creates new content), Pre-trained (trained on massive text data before deployment), Transformer (uses the transformer neural network architecture).

The GPT series evolution: GPT-1 (2018, 117M parameters — proof of concept), GPT-2 (2019, 1.5B parameters — surprisingly coherent text generation), GPT-3 (2020, 175B parameters — breakthrough in few-shot learning), GPT-3.5 (2022, powered ChatGPT's launch), GPT-4 (2023, multimodal, significantly more capable), GPT-4o (2024, faster, cheaper, native multimodal), and o1/o3 (2024-2025, reasoning-focused models).

GPT models are the most widely used foundation models in the world. They power ChatGPT, Microsoft Copilot, thousands of applications, and are available through OpenAI's API for developers and platforms to integrate.

For AI agent builders, GPT models offer: broad general knowledge, strong instruction following, tool use capabilities, multilingual proficiency, and multimodal understanding (text, images, audio). On platforms like Chipp, GPT models are available alongside models from Anthropic (Claude), Google (Gemini), and others.

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