Introduction to NVIDIA NeMo - A Toolkit for Conversational AI | AISC

Introduction to NVIDIA NeMo - A Toolkit for Conversational AI | AISC

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Canada LLMs Explained - Aggregate Intellect - AI.SCIENCE
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Published on ● Video Link: https://www.youtube.com/watch?v=2kTZ0oST8wg


Duration: 1:01:43
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For slides and more information on the paper, visit https://ai.science/e/ne-mo-introduction-to-nvidia-ne-mo--7qbdoCtyn7kZvtFkPE1K

Speaker: Christopher Parisien; Discussion Facilitator: Zach Nguyen, Gordon Gibson; Host: Alireza Darbehani

Motivation:
Building state-of-the-art conversational AI models requires researchers to quickly experiment with novel network architectures. This means going through the complex and time-consuming process of modifying multiple networks and verifying compatibility across inputs, outputs, and data pre-processing layers.

Learn more about NVIDIA NeMo: https://nvda.ws/3jKSU0T

NVIDIA NeMo is a Python toolkit for building, training, and fine-tuning GPU-accelerated conversational AI models using a simple interface. Using NeMo, researchers and developers can build state-of-the-art conversational AI models using easy-to-use application programming interfaces (APIs). NeMo runs mixed precision compute using Tensor Cores in NVIDIA GPUs and can scale up to multiple GPUs easily to deliver the highest training performance possible.



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