skip to main content the ai hype train has stalled in china chinese artificial intelligence startups say uncertain regulation, chip shortages, and a slowing economy will make it tough to compete. play/pause button video: flashmovie/getty images save save building his own large language model (...
Workday Blog Categories Industries More Search for: Workday DevTalk: Stepping Off the AI Hype Train for Better AI Impact Language Selection Application Development Artificial Intelligence Workday DevTalk: Stepping Off the AI Hype Train for Better AI Impact In this DevTalk episode, Chris Bledsoe, ...
As the hype train reaches full speed, we see companies throughout the market looking for ways to fold AI into their existing products. But before we jump to the conclusion that AI is table stakes, it’s essential to consider the costs and tradeoffs. ...
Use the 2024 Hype Cycle for GenAI to identify innovations you can exploit, according to your organization’s appetite for risk in pursuit of potential rewards.
A telling sign of just how significant the ChatGPT hype cycle may turn out to be came towards the end of the discussion among AI skeptics, when one participant said of where the conversation had gone, "We're supposed to be in the skeptical room!" ...
ChatGPT’s launch was the starting gun for mainstreaming that AI is a big deal in terms of new capabilities and kicked off the large scale enthusiasm, hype cycle, and adoption for generative AI. This launch was only 8-9 months ago, and GPT-4 did not come out until 5 months ago. Give...
There certainly have been cracks in AI hype (see below), but we’re still in a phase where every week a new thing blows everyone’s minds. And news like the reported $40B Saudi Arabia AI fund seem to point that money flows into the space are not going to stop anytime soon. ...
"A repeat of the autonomous car hype-cycle of a decade ago is on the cards" Tesla's recently unveiled robotaxis are part of a wave of renewed enthusiasm for self-driving cars, but autonomous vehicles will not solve the problems faced by our transport systems, writes Paris Marx. More Paris...
2.2)这些做 embedding 数据库的公司也在这一波 AI Hype 中获得了非常高的融资额和估值。 但是从第一性原理思考,模块 2 个目的是为了存储外部的知识集合,并在需要的时候进行召回。 这一步并不一定需要 embedding 模型,传统的搜索匹配在某些场景下可能效果更好(Elasticsearch)。
Leveraging GANs for data scarcity of COVID-19: Beyond the hype Hazrat Ali, Christer Gronlund, Zubair Shah CVPRW 2023 [Paper] Testing Data Synthesis 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering Guanjun Wu, Taoran Yi, Jiemin Fang, Lingxi Xie, Xiaopeng Zhang, Wei Wei, Wenyu Li...