Benchmark Scripts Workshop 
AWS Machine Learning
APRIL 22, 2024
To achieve this multi-user environment, you can take advantage of Linux’s user and group mechanism and statically create multiple users on each instance through lifecycle scripts. For more details on how to create HyperPod clusters, refer to Getting started with SageMaker HyperPod and the HyperPod workshop. strip(), pysss.password().AES_256))"
AWS Machine Learning
SEPTEMBER 26, 2024
The method is trained on a dataset of video clips and achieves state-of-the-art results on fashion video and human dance synthesis benchmarks, demonstrating its ability to animate arbitrary characters while maintaining appearance consistency and temporal stability. The implementation of AnimateAnyone can be found in this repository.
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Fonolo
JANUARY 31, 2023
Include workshops and group activities as much as possible! As part of your formal training plan, schedule time to send staff to conventions, classes, and workshops. To demonstrate the practical aspect of your customer profiles, write up role-play scripts for each profile and have staff act them out. Act it out.
AWS Machine Learning
OCTOBER 31, 2022
To get started, follow Modify a PyTorch Training Script to adapt SMPs’ APIs in your training script. In this section, we only call out a few main steps with code snippets from the ready-to-use training script train_gpt_simple.py. The notebook uses the script data_prep_512.py Benchmarking performance. return loss.
AWS Machine Learning
JUNE 6, 2023
The following figure shows a performance benchmark of fine-tuning a RoBERTa model on Amazon EC2 p4d.24xlarge inference with AWS Graviton processors for details on AWS Graviton-based instance inference performance benchmarks for PyTorch 2.0. Run your DLC container with a model training script to fine-tune the RoBERTa model.
AWS Machine Learning
DECEMBER 16, 2022
Finally, we’ll benchmark performance of 13B, 50B, and 100B parameter auto-regressive models and wrap up with future work. A ready-to-use training script for GPT-2 model can be found at train_gpt_simple.py. You can find an example in the same training script train_gpt_simple.py. Benchmarking performance. 24xlarge nodes.
GetFeedback
AUGUST 14, 2019
Flip the script on your results and use that as a motivator. But if you are just starting to explore customer feedback in general, this is a simple way to get started and then benchmark against in the future. Review and benchmark CSAT at several points along the journey. That alone is a powerful way to use CSAT.
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