有兴趣的查看更多内容的,点击链接 获取:https://aiindex.stanford.edu/report/[1] 本节结合了麦肯锡《2023年的人工智能状态:生成式人工智能的爆发》的见解,2023年麦肯锡从来自不同地区(大部分是美国)、行业、公司规模、职能领域,对1684人的调查反馈。 他们主要分三大类: Service operations(服务操作) R&D/product ...
AI推动科学进步的步伐加快 自2022年以来,AI开始在科学发现领域发挥重要作用。到了2023年,AI在科学领域的应用变得更加广泛和深入,并取得了一系列突破性的成果,如提高算法排序效率的AlphaDev和促进材料发现的GNoME等。 09 AI相关法规数量持续增长 美国AI相关法规的数量在过去一年显著增加,中国也出台一系列AI相关的法律、...
由AI先驱李飞飞领导的斯坦福大学人本人工智能研究所(Stanford HAI)最新发布了《2024年人工智能指数报告》(Atificial Intelligence Index Report 2024)。 这份长达500多页的报告是Stanford HAI发布的第7份AI Index研究,追踪了2023年一整年全球人工智能的发展趋势。 Stanford HAI官方介绍道,“这是我们迄今为止最全面的报告...
(AsianFin)— In 2023, U.S. companies released a total of 109 basic models, more than five times the number released by Chinese peers, according to the seventh annual Artificial Intelligence (AI) Index Report released by Stanford University’s Human-Centred Artificial Intelligence. AI is catching...
So I wouldn't look at that and say, Oh, everybody's getting money who has AI. That that's not the case. the second thing is a lot of the research they cite were from research that was done by other people.[00:28:41] Paul Roetzer: early to mid 2023, in some cases before or...
The share of jobs requiring AI skills has grown 4.5X since 2013. These and many other fascinating insights are fromStanford University’sinauguralAI Index(PDF, no opt-in, 101 pp.). Stanford has undertaken aOne Hundred Year Study on Artificial Intelligence (AI100)looking at the effects of AI...
Updated Oct 23, 2023 3:59 pm Credit:Getty Images / Benj Edwards On Wednesday, Stanford University researchersissueda report on major AI models and found them greatly lacking in transparency,reportsReuters. The report, called "The Foundation Model Transparency Index," examined models (such asGPT-...
Today, Stanford HAI released itsFoundation Model Transparency Index, which tracked whether creators of the 10 most popular AI models disclose information about their work and how people use their systems. Among the models it tested, Meta’s Llama 2 scored the highest, followed by BloomZ and then...
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HELM的出现,对整个AI领域都有着重要的意义。首先,它为研究人员提供了一个统一的评估标准,大家可以更客观地比较不同模型的优劣。其次,HELM还能帮助我们发现模型中的潜在问题,比如偏见和安全隐患,从而推动更公平和更安全的AI技术发展。 最后嘛,我的感觉是,HELM真的是一个非常有用的工具。它不仅让我们对大模型有了更...