Building a Question and Answering Service Using Natural Language Processing with NVIDIA NGC and Google Cloud

Originally published at: Building a Question and Answering Service Using Natural Language Processing with NVIDIA NGC and Google Cloud | NVIDIA Developer Blog

NVIDIA GTC provides training, insights, and direct access to experts. Join us for breakthroughs in AI, data center, accelerated computing, healthcare, game development, networking, and more. Invent the future with us: April 12-16, 2021. Enterprises across industries are leveraging natural language process (NLP) solutions—from chatbots to audio transcription—to improve customer engagement, increase employee productivity, and…

I’m looking forward to learning how you are leveraging the content to create your own service deployed on Google Cloud AI Platform with Triton. Don’t feel obligated to follow the entire steps for your work. Use the last section with Triton to deploy the service if you had trained model somewhere else already, or use the first two parts to train your model on CAIP. Don’t forget that you can explore many GPU-optimized models across different domains at NGC which you can plug into the steps shared in this blog. Let us know of any questions or concerns.