Mengdi Huang – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2024-10-28T18:16:58Z http://www.open-lab.net/blog/feed/ Mengdi Huang <![CDATA[Building and Deploying Conversational AI Models Using NVIDIA TAO Toolkit]]> http://www.open-lab.net/blog/?p=24079 2023-03-22T01:16:50Z 2021-11-09T16:15:24Z Sign up for the latest Speech AI news from NVIDIA. Conversational AI is a set of technologies enabling human-like interactions between humans and devices based...]]>

Sign up for the latest Speech AI news from NVIDIA. Conversational AI is a set of technologies enabling human-like interactions between humans and devices based on the most natural interfaces for us: speech and natural language. Systems based on conversational AI can understand commands by recognizing speech and text, translating on-the-fly between different languages…

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Mengdi Huang <![CDATA[Integrating with Data Generation and Labeling Tools for Accurate AI Training]]> http://www.open-lab.net/blog/?p=30162 2023-03-22T01:11:53Z 2021-04-12T19:31:00Z Data plays a crucial role in creating intelligent applications. To create an efficient AI/ ML app, you must train machine learning models with high-quality,...]]>

Data plays a crucial role in creating intelligent applications. To create an efficient AI/ ML app, you must train machine learning models with high-quality, labeled datasets. Generating and labeling such data from scratch has been a critical bottleneck for enterprises. Many companies prefer a one-stop solution to support their AI/ML workflow from data generation, data labeling, model training/

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Mengdi Huang <![CDATA[Minimizing Deep Learning Inference Latency with NVIDIA Multi-Instance GPU]]> http://www.open-lab.net/blog/?p=22868 2022-08-21T23:40:50Z 2020-12-18T18:39:52Z Recently, NVIDIA unveiled the A100 GPU model, based on the NVIDIA Ampere architecture. Ampere introduced many features, including Multi-Instance GPU (MIG), that...]]>

Recently, NVIDIA unveiled the A100 GPU model, based on the NVIDIA Ampere architecture. Ampere introduced many features, including Multi-Instance GPU (MIG), that play a special role for deep learning-based (DL) applications. MIG makes it possible to use a single A100 GPU as if it were multiple smaller GPUs, maximizing utilization for DL workloads and providing dynamic scalability.

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Mengdi Huang <![CDATA[Accelerating ETL for Recommender Systems on NVIDIA GPUs with NVTabular]]> http://www.open-lab.net/blog/?p=18907 2024-10-28T18:16:58Z 2020-07-16T01:48:04Z Recommender systems are ubiquitous in online platforms, helping users navigate through an exponentially growing number of goods and services. These models are...]]>

Recommender systems are ubiquitous in online platforms, helping users navigate through an exponentially growing number of goods and services. These models are key in driving user engagement. With the rapid growth in scale of industry datasets, deep learning (DL) recommender models have started to gain advantages over traditional methods by capitalizing on large amounts of training data.

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Mengdi Huang <![CDATA[Optimizing the Deep Learning Recommendation Model on NVIDIA GPUs]]> http://www.open-lab.net/blog/?p=18109 2024-10-28T18:15:57Z 2020-06-18T23:36:41Z Recommender systems help people find what they��re looking for among an exponentially growing number of options. They are a critical component for driving user...]]>

Recommender systems help people find what they’re looking for among an exponentially growing number of options. They are a critical component for driving user engagement on many online platforms. With the rapid growth in scale of industry datasets, deep learning (DL) recommender models, which capitalize on large amounts of training data, have started to show advantages over traditional…

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