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  2. GPT-3 - Wikipedia

    en.wikipedia.org/wiki/GPT-3

    Generative Pre-trained Transformer 3.5 (GPT-3.5) is a sub class of GPT-3 Models created by OpenAI in 2022. On March 15, 2022, OpenAI made available new versions of GPT-3 and Codex in its API with edit and insert capabilities under the names "text-davinci-002" and "code-davinci-002". [ 28 ]

  3. 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] 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.

  4. Generative artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Generative_artificial...

    Generative AI systems trained on words or word tokens include GPT-3, GPT-4, GPT-4o, LaMDA, LLaMA, BLOOM, Gemini and others (see List of large language models). They are capable of natural language processing, machine translation, and natural language generation and can be used as foundation models for other tasks. [62]

  5. How will GPT-3 change our lives? - AOL

    www.aol.com/gpt-3-change-lives-150036402.html

    In recent years, the AI circus really has come to town and we’ve been treated to a veritable parade of technical aberrations seeking to dazzle us with their human-like intelligence. In this case ...

  6. Large language model - Wikipedia

    en.wikipedia.org/wiki/Large_language_model

    GPT-3 in 2020 went a step further and as of 2024 is available only via API with no offering of downloading the model to execute locally. But it was the 2022 consumer-facing browser-based ChatGPT that captured the imaginations of the general population and caused some media hype and online buzz. [ 15 ]

  7. Attention Is All You Need - Wikipedia

    en.wikipedia.org/wiki/Attention_Is_All_You_Need

    The models were trained using 8 NVIDIA P100 GPUs. The base models were trained for 100,000 steps and the big models were trained for 300,000 steps - each step taking about 0.4 seconds to complete. The base model trained for a total of 12 hours, and the big model trained for a total of 3.5 days.

  8. Foundation model - Wikipedia

    en.wikipedia.org/wiki/Foundation_model

    The 2022 releases of Stable Diffusion and ChatGPT (initially powered by the GPT-3.5 model) led to foundation models and generative AI entering widespread public discourse. Further, releases of LLaMA , Llama 2, and Mistral in 2023 contributed to a greater emphasis placed on how foundation models are released with open foundation models garnering ...

  9. GPT-2 - Wikipedia

    en.wikipedia.org/wiki/GPT-2

    GPT-2 was to be followed by the 175-billion-parameter GPT-3, [40] revealed to the public in 2020 [41] (whose source code has never been made available). Access to GPT-3 is provided exclusively through APIs offered by OpenAI and Microsoft. [42] That was then later followed by GPT-4.