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A generative pre-trained transformer (GPT) is a type of large language model and a framework for generative artificial intelligence. It is a neural network that can generate novel human-like content based on pre-training on large text data.
ChatGPT is a conversational service based on large language models (LLMs) that can perform various tasks such as writing, debugging, translating, and playing games. It was launched in 2022 and became the fastest-growing consumer software application in history, with over 100 million users and a partnership with Apple.
Learn about the history, applications, and challenges of generative AI, which is AI capable of creating text, images, videos, or other data using generative models. Explore examples of generative AI systems, such as chatbots, text-to-image models, and transformer networks.
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The hack utilises a ChatGPT trick known as the ‘grandma exploit’, which bypasses the AI chatbot’s rules by asking it to pretend to be a dead grandmother. “ChatGPT gives you free Windows 10 ...
GPT-2 is a generative pre-trained transformer that can perform various natural language tasks such as translation, summarization, and text generation. It was trained on 8 million web pages and released in 2019, but its source code was not made public due to the risk of malicious use.
The potential of the new AI models was also highlighted by Noam Brown, a research scientist at the company. “OpenAI’s o1 thinks for seconds, but we aim for future versions to think for hours ...
GPT-3 is a decoder-only transformer model of deep neural network that can generate text from various inputs. It has 175 billion parameters, a context window size of 2048 tokens, and can perform many natural language tasks with zero-shot or few-shot learning.
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