Original author(s) | OpenAI[1] |
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Initial release | May 28, 2020 (publication); June 11, 2020 (OA API beta) |
Repository | |
Predecessor | GPT-2 |
Successor | GPT-3.5 GPT-4 |
Type | |
License | proprietary |
Website | openai |
Part of a series on |
Machine learning and data mining |
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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[2] transformer model of deep neural network, which supersedes recurrence and convolution-based architectures with a technique known as "attention".[3] This attention mechanism allows the model to focus selectively on segments of input text it predicts to be most relevant.[4] GPT-3 has 175 billion parameters, each with 16-bit precision, requiring 350GB of storage since each parameter occupies 2 bytes. It has a context window size of 2048 tokens, and has demonstrated strong "zero-shot" and "few-shot" learning abilities on many tasks.[2]
On September 22, 2020, Microsoft announced that it had licensed GPT-3 exclusively. Others can still receive output from its public API, but only Microsoft has access to the underlying model.[5]
preprint
was invoked but never defined (see the help page).The companies say OpenAI will continue to offer its public-facing API, which allows chosen users to send text to GPT-3 or OpenAI's other models and receive its output. Only Microsoft, however, will have access to GPT-3's underlying code, allowing it to embed, repurpose, and modify the model as it pleases.