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  2. Mar 25, 2021 · Product. Nine months since the launch of our first commercial product, the OpenAI API, more than 300 applications are now using GPT-3, and tens of thousands of developers around the globe are building on our platform. We currently generate an average of 4.5 billion words per day, and continue to scale production traffic.

  3. en.wikipedia.org › wiki › GPT-3GPT-3 - Wikipedia

    Generative Pre-trained Transformer 3 (GPT-3) is a large language model released by OpenAI in 2020. Like its predecessor, GPT-2, it is a decoder-only transformer model of deep neural network, which supersedes recurrence and convolution-based architectures with a technique known as "attention".

    • June 11, 2020 (beta)
    • GPT-2
  4. GPT-3, or the third-generation Generative Pre-trained Transformer, is a neural network machine learning model trained using internet data to generate any type of text. Developed by OpenAI, it requires a small amount of input text to generate large volumes of relevant and sophisticated machine-generated text.

  5. Jul 30, 2020 · As the name suggests, GPT-3 is the third in a series of autocomplete tools designed by OpenAI. (GPT stands for “generative pre-trained transformer.”) The program has...

  6. Sep 27, 2023 · OpenAI GPT-3: What is GPT-3? Generative Pre-trained Transformer 3 (GPT-3) is a language model that leverages deep learning to generate human-like text (output). Not only can it produce text, but it can also generate code, stories, poems, etc.

    • What is OpenAI gpt-3?1
    • What is OpenAI gpt-3?2
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  7. Aug 25, 2020 · GPT-3 is a computer program created by the privately held San Francisco startup OpenAI. It is a gigantic neural network, and as such, it is part of the deep learning segment of machine...

  8. GPT-3 is the first-ever generalized language model in the history of natural language processing that can perform equally well on an array of NLP tasks. GPT-3 stands for “Generative Pre-trained Transformer,” and it’s OpenAI’s third iteration of the model. Let us break down these three terms:

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