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Conversational AI is the technology that powers automated messaging and speech-enabled applications, and its applications are used in diverse industries to improve the overall customer experience a
Modern deep learning challenges leverage increasingly larger datasets and more complex models. As a result, significant computational power is required to train models effectively and efficiently.
Large language models (LLMs) and deep neural networks (DNNs), whether applied to natural language processing (e.g., GPT-3), computer vision (e.g., huge Vision Transformers), or speech AI (e.g., Wav
Applications for natural language processing (NLP) and generative AI have exploded in the past decade.
Join NVIDIA’s Deep Learning Institute (DLI) this February for a series of free, virtual instructor-led workshops providing hands-on experience with GPU-accelerated servers in the cloud to complete
This webinar in the ByteBoost program https://www.stonybrook.edu/ookami/ByteBoost.php will present
Research computing on the composable ACES and FASTER clusters
This Short Course (2.5 hours) introduces researchers to the Slurm scheduler on the ACES cluster, a composable accelerator testbed at Texas A&M University.
This course is an introduction to the R programming language and covers the fundamental concepts needed to operate in the R environment with a particular focus on data science.
Accelerating AI/ML Workflows on a Composable Cyberinfrastructure