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Bookmark or Share- GPT-3: Language Models are Few-Shot Learners - GitHubGPT-3 achieves strong performance on many NLP datasets, including translation, question-answering, and cloze tasks, as well as several tasks that require on-the-fly reasoning or domain adaptation, such as unscrambling words, using a novel word in a sentence, or performing 3-digit arithmetic.
- GPT-4 - OpenAIFollowing the research path from GPT, GPT-2, and GPT-3, our deep learning approach leverages more data and more computation to create increasingly sophisticated and capable language models. We spent 6 months making GPT-4 safer and more aligned.
- GPT-3 - WikipediaGenerative 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] .
- GPT-3 powers the next generation of apps - OpenAIGiven any text prompt like a phrase or a sentence, GPT-3 returns a text completion in natural language. Developers can “program” GPT-3 by showing it just a few examples or “prompts.” We’ve designed the API to be both simple for anyone to use but also flexible enough to make machine learning teams more productive.
- GPT-3 - 百度百科gpt-3具备用零样本学习方法解决一系列类比问题的初步能力。 GPT-3通过与生物智能截然不同的路径，被动形成了类似人类类比推理能力的机制，尽管它并未在这方面经过明确训练。
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