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  2. GPT-3 - Wikipedia

    en.wikipedia.org/wiki/GPT-3

    GPT-3 is capable of performing zero-shot and few-shot learning (including one-shot). [1] In June 2022, Almira Osmanovic Thunström wrote that GPT-3 was the primary author on an article on itself, that they had submitted it for publication, [24] and that it had been pre-published while waiting for completion of its review. [25]

  3. Prompt engineering - Wikipedia

    en.wikipedia.org/wiki/Prompt_engineering

    Few-shot learning A prompt may include a few examples for a model to learn from, such as asking the model to complete " maison → house, chat → cat, chien →" (the expected response being dog ), [ 31 ] an approach called few-shot learning .

  4. Few-shot learning - Wikipedia

    en.wikipedia.org/wiki/Few-shot_learning

    Few-shot learning and one-shot learning may refer to: Few-shot learning, a form of prompt engineering in generative AI; One-shot learning (computer vision)

  5. Sam Altman says OpenAI’s new o3 ‘reasoning ... - AOL

    www.aol.com/sam-altman-says-openai-o3-204421921.html

    OpenAI has unveiled a preview of its new o3 reasoning models, which, CEO Sam Altman said immodestly, begin the “next phase” of AI. The models, announced Friday, did so well on a prominent ...

  6. OpenAI o3 - Wikipedia

    en.wikipedia.org/wiki/OpenAI_o3

    Reinforcement learning was used to teach o3 to "think" before generating answers, using what OpenAI refers to as a "private chain of thought".This approach enables the model to plan ahead and reason through tasks, performing a series of intermediate reasoning steps to assist in solving the problem, at the cost of needing additional computing power and increasing the latency of responses.

  7. 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.

  8. Contrastive Language-Image Pre-training - Wikipedia

    en.wikipedia.org/wiki/Contrastive_Language-Image...

    The CLIP models released by OpenAI were trained on a dataset called "WebImageText" (WIT) containing 400 million pairs of images and their corresponding captions scraped from the internet. The total number of words in this dataset is similar in scale to the WebText dataset used for training GPT-2 , which contains about 40 gigabytes of text data.

  9. OpenAI Rethinks AI Safety Strategy After Key Team ... - AOL

    www.aol.com/finance/openai-rethinks-ai-safety...

    ChatGPT parent OpenAI has disbanded a team dedicated to ensuring the safety of potentially ultra-capable AI systems after the group’s leaders, including co-founder Ilya Sutskever, departed. The ...