Jim Fan, Senior Research Scientist at NVIDIA and Lead of AI Agents Initiative, gave a keynote at the GenAI Summit 2024 where he talked about the latest AI at Nvidia. He describes the new world of virtual agents, humanoid bots and ultra-fast simulation and training.
There were three AI eras before the new AI era of agents. There are four aspects to define the era. The data, learning capability and the model. The classical era, we use little to almost no data and the learning. There’s no learning. Mostly it’s engineered. These things are engineered objects, and the capability is very brittle anything outside the templates, good luck. And the models at most are shallow models, or no models at all. And then the neural era, we have these constrained benchmarks, these small scale data sets, and maybe ImageNet 1.2 million is already the largest scale. And for the learning we do mostly supervised, where you have the label data and the capability are more like domain specialist. And these models are the deep models.
The agentic era is the latest AI era.
Brian Wang is a Futurist Thought Leader and a popular Science blogger with 1 million readers per month. His blog Nextbigfuture.com is ranked #1 Science News Blog. It covers many disruptive technology and trends including Space, Robotics, Artificial Intelligence, Medicine, Anti-aging Biotechnology, and Nanotechnology.
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