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  1. Vor einem Tag · Alec Radford, Jong Wook Kim, Tao Xu, Greg Brockman, Christine McLeavey, and Ilya Sutskever. 2023. Robust speech recognition via large-scale weak supervision. In Proceedings of the 40th International Conference on Machine Learning (Honolulu, Hawaii, USA) (ICML’23). JMLR.org, Article 1182, 27 pages.

  2. Vor 2 Tagen · 5 Conclusions. In this paper, we propose a novel multi-modal controllable procedural content generation method City 𝒳 \mathcal {X} caligraphic_X to generate realistic, unbounded 3D cities. The proposed method supports multi-modal guided conditions, such as OSM, semantic maps, and satellite images.

  3. en.wikipedia.org › wiki › SearchGPTSearchGPT - Wikipedia

    SearchGPT. SearchGPT is a prototype search engine developed by OpenAI, it launched on 26 July, 2024. It combines traditional search engine features with generative AI capabilities. [1] [2] It aims to give users “fast and timely answers with clear and relevant sources.”. [3] According to The Wall Street Journal, SearchGPT is "taking direct ...

  4. Vor 3 Tagen · If you are building with LLMs, creating high quality evals is one of the most impactful things you can do. Without evals, it can be very difficult and time intensive to understand how different model versions might affect your use case. In the words of OpenAI's President Greg Brockman:

  5. www.forbes.com › profile › sam-altmanSam Altman - Forbes

    Vor 2 Tagen · Sam Altman is the CEO of OpenAI and a prolific venture investor. In 2005, he dropped out of Stanford to found social mapping company Loopt, which sold in 2012 for $43 million; he used proceeds to...

    • President
  6. Vor 2 Tagen · Satya Narayana Nadella ( / nəˈdɛlə /; born 19 August 1967) is an Indian-American business executive. He is the executive chairman and CEO of Microsoft, succeeding Steve Ballmer in 2014 as CEO [2] [3] and John W. Thompson in 2021 as chairman.

  7. Vor 4 Tagen · An empirical capacity model (ECM) is derived that can be used to design task-specific transformer models with an optimal number of parameters in cases where the target memorization capability of the task can be defined. Large pretrained self-attention neural networks, or transformers, have been very successful in various tasks recently. The performance of a model on a given task depends on its ...