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ChatGPT ChatGPT is your AI chatbot for everyday use Chat with the most advanced AI to explore ideas, solve problems, and learn faster
GPT-4 | OpenAI GPT-4 is more creative and collaborative than ever before It can generate, edit, and iterate with users on creative and technical writing tasks, such as composing songs, writing screenplays, or learning a user’s writing style
Generative pre-trained transformer - Wikipedia Original GPT model A generative pre-trained transformer (GPT) is a type of large language model (LLM) [1][2][3] that is widely used in generative AI chatbots [4][5] GPTs are based on a deep learning architecture called the transformer They are pre-trained on large datasets of unlabeled content, and able to generate novel content [2][3] OpenAI was the first to apply generative pre-training
What is GPT and how does it work? | Google Cloud GPT, or a generative pre-trained transformer, is a type of large language model (LLM) that utilizes deep learning to produce human-like text Neural networks are trained on massive datasets
Introducing ChatGPT - OpenAI We’ve trained a model called ChatGPT which interacts in a conversational way The dialogue format makes it possible for ChatGPT to answer followup questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests
What Is GPT? A Complete Beginner’s Guide To AI Model GPT stands for Generative Pre-trained Transformer — a type of AI model that understands and generates human-like text It works by predicting words based on context using transformer neural networks
4 AI Models Explained: What GPT, Gemini, Claude and Copilot can do for . . . AI models explained for you Confused by all the buzz around ChatGPT, Microsoft Copilot, Google Gemini, Claude and other AI-branded tools? Who’s building the underlying models, which ones power which services, and how they differ in technology and real-world strengths
ChatGPT is released to the public - HISTORY In 2020, OpenAI released GPT-3, an LLM trained on an astonishing 175 billion parameters and 45 terabytes of data, including digitized books, websites, Reddit-sourced URLs and Wikipedia entries