Generative pre-trained transformer: Difference between revisions
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* [[ChatGPT]] | * [[ChatGPT]] | ||
* [[Enterprise-wide resource planning system]] | * [[Enterprise-wide resource planning system]] | ||
* [[Generative AI]] (GenAI) | |||
* [[Google Gemini]] | |||
* [[GPT-4]] | * [[GPT-4]] | ||
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*[https://cdn.openai.com/research-covers/language-unsupervised/language_understanding_paper.pdf Improving Language Understanding by Generative Pre-Training, Radford, Narasimhan, Salimans & Sutskever, 2018] | *[https://cdn.openai.com/research-covers/language-unsupervised/language_understanding_paper.pdf Improving Language Understanding by Generative Pre-Training, Radford, Narasimhan, Salimans & Sutskever, 2018] | ||
[[Category:Identify_and_assess_risks]] | [[Category:Identify_and_assess_risks]] | ||
[[Category:Manage_risks]] | [[Category:Manage_risks]] | ||
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Latest revision as of 22:20, 11 May 2024
Information technology - software - natural language processing - artificial intelligence - chatbots.
(GPT).
Generative pre-trained transformers are language models that have been pre-trained on large datasets of unlabelled natural language text.
They can generate new text that is human-like, and in some cases may be difficult to distinguish from human-written text.
GPT's unsupervised pre-training may then often be supplemented by additional fine-tuning human supervised training, known as Reinforcement Learning from Human Feedback (RLHF).
See also
- Artificial intelligence (AI)
- Bot
- Chatbot
- ChatGPT
- Enterprise-wide resource planning system
- Generative AI (GenAI)
- Google Gemini
- GPT-4
- Information technology
- Large language model (LLM)
- Natural language
- Natural language processing
- Reinforcement Learning from Human Feedback (RLHF)
- Robotics
- Software
- Software robot