Neural network basics, Deep learning fluency, Sagemaker jumpstart, Machine learning framework fundamentals, Hyperparameter tuning, Feature engineering, Machine learning fluency, Cloud resource allocation, AWS lambda, Distributed model training with sagemaker, Sagemaker training jobs, Transformer neural networks,...
The development of large-scale models has reached a crucial stage, empowering various industries and requiring a diverse range of talents in areas such as data processing and model training, said Zhang Jiaqing, co-founder and chief marketing officer of OpenCSG, a Beijing-based company that provides...
Data streams in Kafka-ML are received by training and inference jobs, which mainly use them for model training and model prediction respectively. Therefore, no static datasets are required to work with Kafka-ML but data streams. Finally, the control logger is a logger for control messages, ...
TRIPO is a generative foundation model launched by VAST at the end of 2023. TRIPO leads the world in terms of generation quality, speed, cost, and success rate. Currently, it can generate mesh models with clean wireframes and smooth geometry in 8 seconds, which can be integrated into the ...
Speeding up your data annotation process: introduction to CVAT and Datumaro. What problems do CVAT and Datumaro solve, and how they can speed up your model training process. Some resources you can use to learn more about how to use them. ...
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOper...
Nebula is a component in ACPT that can help data scientists to boost checkpoint savings time faster than existing solutions for distributed large-scale model training jobs with PyTorch. Nebula is fully compatible with different distributed PyTorch training strategies, including PyTorch Lightning, DeepSpeed...
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this libr
As of 2023, customer data was the leading source of information used to train artificial intelligence (AI) models in South Korea, with nearly 70 percent of surveyed companies answering that way. About 62 percent responded to use existing data within the company when training their AI mo...
we have to keep the drawbacks in mind,” said Sikka. “That’s why I’m very excited that Huawei has unveiled its AI strategy, starting from the chip, all the way to the solutions and several layers in between. The native AI processor, the programming model, MindSpore framework, and dev...