Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Hewitt, Luke"'
Autor:
OpenAI, Hurst, Aaron, Lerer, Adam, Goucher, Adam P., Perelman, Adam, Ramesh, Aditya, Clark, Aidan, Ostrow, AJ, Welihinda, Akila, Hayes, Alan, Radford, Alec, Mądry, Aleksander, Baker-Whitcomb, Alex, Beutel, Alex, Borzunov, Alex, Carney, Alex, Chow, Alex, Kirillov, Alex, Nichol, Alex, Paino, Alex, Renzin, Alex, Passos, Alex Tachard, Kirillov, Alexander, Christakis, Alexi, Conneau, Alexis, Kamali, Ali, Jabri, Allan, Moyer, Allison, Tam, Allison, Crookes, Amadou, Tootoochian, Amin, Tootoonchian, Amin, Kumar, Ananya, Vallone, Andrea, Karpathy, Andrej, Braunstein, Andrew, Cann, Andrew, Codispoti, Andrew, Galu, Andrew, Kondrich, Andrew, Tulloch, Andrew, Mishchenko, Andrey, Baek, Angela, Jiang, Angela, Pelisse, Antoine, Woodford, Antonia, Gosalia, Anuj, Dhar, Arka, Pantuliano, Ashley, Nayak, Avi, Oliver, Avital, Zoph, Barret, Ghorbani, Behrooz, Leimberger, Ben, Rossen, Ben, Sokolowsky, Ben, Wang, Ben, Zweig, Benjamin, Hoover, Beth, Samic, Blake, McGrew, Bob, Spero, Bobby, Giertler, Bogo, 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GPT-4o is an autoregressive omni model that accepts as input any combination of text, audio, image, and video, and generates any combination of text, audio, and image outputs. It's trained end-to-end across text, vision, and audio, meaning all inputs
Externí odkaz:
http://arxiv.org/abs/2410.21276
Autor:
Summerfield, Christopher, Argyle, Lisa, Bakker, Michiel, Collins, Teddy, Durmus, Esin, Eloundou, Tyna, Gabriel, Iason, Ganguli, Deep, Hackenburg, Kobi, Hadfield, Gillian, Hewitt, Luke, Huang, Saffron, Landemore, Helene, Marchal, Nahema, Ovadya, Aviv, Procaccia, Ariel, Risse, Mathias, Schneier, Bruce, Seger, Elizabeth, Siddarth, Divya, Sætra, Henrik Skaug, Tessler, MH, Botvinick, Matthew
Advanced AI systems capable of generating humanlike text and multimodal content are now widely available. In this paper, we discuss the impacts that generative artificial intelligence may have on democratic processes. We consider the consequences of
Externí odkaz:
http://arxiv.org/abs/2409.06729
Autor:
Hewitt, Luke
Campaigns spend billions attempting to persuade voters – with factual arguments, group cues, moral appeals, character attacks, and targeted messages tailored for a particular demographic – yet such persuasion campaigns are often found to have onl
Externí odkaz:
https://hdl.handle.net/1721.1/143355
Publikováno v:
In Nuclear Materials and Energy September 2024 40
Publikováno v:
In Cognition December 2024 253
Autor:
Le, Tuan Anh, Collins, Katherine M., Hewitt, Luke, Ellis, Kevin, Siddharth, N., Gershman, Samuel J., Tenenbaum, Joshua B.
Publikováno v:
ICLR 2022
Modeling complex phenomena typically involves the use of both discrete and continuous variables. Such a setting applies across a wide range of problems, from identifying trends in time-series data to performing effective compositional scene understan
Externí odkaz:
http://arxiv.org/abs/2107.06393
We study a class of neuro-symbolic generative models in which neural networks are used both for inference and as priors over symbolic, data-generating programs. As generative models, these programs capture compositional structures in a naturally expl
Externí odkaz:
http://arxiv.org/abs/2007.03132
DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning
Autor:
Ellis, Kevin, Wong, Catherine, Nye, Maxwell, Sable-Meyer, Mathias, Cary, Luc, Morales, Lucas, Hewitt, Luke, Solar-Lezama, Armando, Tenenbaum, Joshua B.
Expert problem-solving is driven by powerful languages for thinking about problems and their solutions. Acquiring expertise means learning these languages -- systems of concepts, alongside the skills to use them. We present DreamCoder, a system that
Externí odkaz:
http://arxiv.org/abs/2006.08381
Autor:
Hewitt, Luke
In deriving a new definition of disability, it was first necessary to examine disability from an independent perspective which, while it took into account previous medical and social definitions, did not start from the basis of either. Thus, disabili
Externí odkaz:
https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.753759
Our goal is to build systems which write code automatically from the kinds of specifications humans can most easily provide, such as examples and natural language instruction. The key idea of this work is that a flexible combination of pattern recogn
Externí odkaz:
http://arxiv.org/abs/1902.06349