2023 was marked by the generative AI boom, representing a new era for how artificial intelligence can be used across industries.
The year’s top videos from the NVIDIA YouTube channel reflect this focus, with popular videos highlighting the technology powering large language models, new platforms for building generative AI applications and how accelerated computing and AI can advance climate science.
And don’t miss replays of NVIDIA founder and CEO Jensen Huang’s event appearances — his GTC keynote in March has garnered 22 million views, making it by far the most-viewed video on the channel.
Tune in to NVIDIA’s top five videos of the year:
Explore in colorful detail how running FourCastNet — an AI framework developed by researchers at NVIDIA, Caltech and Lawrence Berkeley Lab — on NVIDIA GPUs enables quicker, more accurate extreme weather predictions.
Buckle up — learn how reservoir engineers are using NVIDIA Omniverse, NVIDIA Modulus and accelerated computing to optimize carbon capture, ensuring long-term storage and safer operations.
Seeing is achieving with this stunning demo of the NVIDIA Earth-2 platform, which offers high-resolution climate visualizations for scientists, as well as breathtakingly detailed urban airflow information for architects and city planners.
A Tour of the NVIDIA DGX H100
Presenting the engine behind the large language model breakthrough — the NVIDIA DGX H100. Hear from Huang on why DGX is “the essential instrument of AI.”
Fine-Tuning Generative AI With NVIDIA AI Workbench
Check out this demo — featuring a multitude of Toy Jensens — to learn how NVIDIA AI Workbench streamlines selecting foundation models, building project environments and fine-tuning models with domain-specific data.
Understanding what's happening behind large language models (LLMs) is essential in today's machine learning landscape.
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