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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.
OpenAI described o1 as a complement to GPT-4o rather than a successor. [9] [10] o1 spends additional time thinking (generating a chain of thought) before generating an answer, which makes it better for complex reasoning tasks, particularly in science and mathematics. [1]
GPT-2 was pre-trained on a dataset of 8 million web pages. [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]
OpenAI said the o1 pro mode performs better on machine learning benchmarks across math, science and coding compared with the o1 and o1-preview versions. ... GPT-4o and advanced voice, the company ...
The new model, called GPT-4o, ... OpenAI executives demonstrated a spoken conversation with ChatGPT to get real-time instructions for solving a math problem, to tell a bedtime story and to get ...
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 ]
ChatGPT is a virtual assistant developed by OpenAI and launched in November 2022. It uses advanced artificial intelligence (AI) models called generative pre-trained transformers (GPT), such as GPT-4o, to generate text.
The Pile was originally developed to train EleutherAI's GPT-Neo models [8] [9] [10] but has become widely used to train other models, including Microsoft's Megatron-Turing Natural Language Generation, [11] [12] Meta AI's Open Pre-trained Transformers, [13] LLaMA, [14] and Galactica, [15] Stanford University's BioMedLM 2.7B, [16] the Beijing ...
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