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  2. T5 (language model) - Wikipedia

    en.wikipedia.org/wiki/T5_(language_model)

    T5 (Text-to-Text Transfer Transformer) is a series of large language models developed by Google AI introduced in 2019. [1] [2] Like the original Transformer model, [3] T5 models are encoder-decoder Transformers, where the encoder processes the input text, and the decoder generates the output text.

  3. Hugging Face - Wikipedia

    en.wikipedia.org/wiki/Hugging_Face

    The company was named after the U+1F917 珞 HUGGING FACE emoji. [1] After open sourcing the model behind the chatbot, the company pivoted to focus on being a platform for machine learning. In March 2021, Hugging Face raised US$40 million in a Series B funding round. [2]

  4. Transformer (deep learning architecture) - Wikipedia

    en.wikipedia.org/wiki/Transformer_(deep_learning...

    In 2022, a chatbot based on GPT-3, ChatGPT, became unexpectedly popular, [38] triggering a boom around large language models. [ 39 ] [ 40 ] Since 2020, Transformers have been applied in modalities beyond text, including the vision transformer , [ 41 ] speech recognition, [ 42 ] robotics, [ 6 ] and multimodal . [ 43 ]

  5. GPT-J - Wikipedia

    en.wikipedia.org/wiki/GPT-J

    GPT-J is a GPT-3-like model with 6 billion parameters. [4] Like GPT-3, it is an autoregressive, decoder-only transformer model designed to solve natural language processing (NLP) tasks by predicting how a piece of text will continue. [1] Its architecture differs from GPT-3 in three main ways. [1]

  6. Grok (chatbot) - Wikipedia

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

    Grok is a generative artificial intelligence chatbot developed by xAI. Based on the large language model (LLM) of the same name, it was launched in 2023 as an initiative by Elon Musk. [3] The chatbot is advertised as having a "sense of humor" and direct access to X.

  7. GPT-2 - Wikipedia

    en.wikipedia.org/wiki/GPT-2

    It was partially released in February 2019, followed by full release of the 1.5-billion-parameter model on November 5, 2019. [3] [4] [5] GPT-2 was created as a "direct scale-up" of GPT-1 [6] with a ten-fold increase in both its parameter count and the size of its training dataset. [5]

  8. List of chatbots - Wikipedia

    en.wikipedia.org/wiki/List_of_chatbots

    A chatbot is a software application or web interface that is designed to mimic human conversation through text or voice interactions. [1] [2] [3] Modern chatbots are typically online and use generative artificial intelligence systems that are capable of maintaining a conversation with a user in natural language and simulating the way a human would behave as a conversational partner.

  9. 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 ]