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AutoGPT can be used to develop software applications from scratch. [5] AutoGPT can also debug code and generate test cases. [ 9 ] Observers suggest that AutoGPT's ability to write, debug, test, and edit code may extend to AutoGPT's own source code, enabling self-improvement.
Andrej Karpathy (born 23 October 1986 [2]) is a Slovak-Canadian computer scientist who served as the director of artificial intelligence and Autopilot Vision at Tesla. He co-founded and formerly worked at OpenAI , [ 3 ] [ 4 ] [ 5 ] where he specialized in deep learning and computer vision .
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.
Karpathy - who received a PhD from Stanford University - started posting tutorial videos on how to solve Rubik's cubes and over the years has published content online exploring concepts related to AI.
He was also on the Time's list of the 100 most influential people in AI in 2023 [82] and in 2024. [83] He was one of the "Best Young Entrepreneurs in Technology" by Businessweek in 2008, [84] and the top investor under 30 by Forbes magazine in 2015. [85] Altman was invited to attend the Bilderberg Meeting in 2016, [86] 2022, [87] and 2023. [88 ...
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]
Good news for generative AI fans, and bad news for those who fear an age of cheap, procedurally-generated content: OpenAI's GPT-4 is a better language model than GPT-3, the model that powered ...
Generative Pre-trained Transformer 1 (GPT-1) was the first of OpenAI's large language models following Google's invention of the transformer architecture in 2017. [2] In June 2018, OpenAI released a paper entitled "Improving Language Understanding by Generative Pre-Training", [ 3 ] in which they introduced that initial model along with the ...