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2. ChatGPT - Wikipedia

   en.wikipedia.org/wiki/ChatGPT

   ChatGPT is a generative artificial intelligence chatbot [2] [3] developed by OpenAI.Launched in 2022 based on the GPT-3.5 large language model (LLM), it was later updated to use the GPT-4 architecture.

3. Sparrow (chatbot) - Wikipedia

   en.wikipedia.org/wiki/Sparrow_(chatbot)

   Sparrow is a chatbot developed by the artificial intelligence research lab DeepMind, a subsidiary of Alphabet Inc. It is designed to answer users' questions correctly, while reducing the risk of unsafe and inappropriate answers. [ 1 ]

4. Large language model - Wikipedia

   en.wikipedia.org/wiki/Large_language_model

   A large language model (LLM) is a computational model capable of language generation or other natural language processing tasks. As language models, LLMs acquire these abilities by learning statistical relationships from vast amounts of text during a self-supervised and semi-supervised training process.

5. Isambard Kingdom Brunel - Wikipedia

   en.wikipedia.org/wiki/Isambard_Kingdom_Brunel

   Isambard Kingdom Brunel FRS MInstCE (/ ˈ ɪ z ə m b ɑːr d ˈ k ɪ ŋ d ə m b r uː ˈ n ɛ l / IZZ-əm-bard KING-dəm broo-NELL; 9 April 1806 – 15 September 1859) [1] was a British civil engineer and mechanical engineer [2] who is considered "one of the most ingenious and prolific figures in engineering history", [3] "one of the 19th-century engineering giants", [4] and "one of the ...

6. File:Google Bard logo.svg - Wikipedia

   en.wikipedia.org/wiki/File:Google_Bard_logo.svg

   Bard (chatbot) Usage on pt.wikinews.org Google planeja incorporar inteligência artificial Bard em seus aplicativos; Usage on qu.wikipedia.org Google Bard; Usage on sw.wikipedia.org Bard (roboti mazungumzo) Usage on www.wikidata.org Q116698014; Usage on zh-min-nan.wikipedia.org Google Gemini

7. Generative pre-trained transformer - Wikipedia

   en.wikipedia.org/wiki/Generative_pre-trained...

   Generative pretraining (GP) was a long-established concept in machine learning applications. [16] [17] [18] It was originally used as a form of semi-supervised learning, as the model is trained first on an unlabelled dataset (pretraining step) by learning to generate datapoints in the dataset, and then it is trained to classify a labelled dataset.