AWS Machine Learning

NOVEMBER 19, 2024

Workshops – In these hands-on learning opportunities, in 2 hours, you’ll be able to build a solution to a problem, and understand the inner workings of the resulting infrastructure and cross-service interaction. Builders’ sessions – These highly interactive 60-minute mini-workshops are conducted in small groups of fewer than 10 attendees.

APIs 88

APIs Enterprise Best practices Government 88

AWS Machine Learning

OCTOBER 2, 2024

In addition, they use the developer-provided instruction to create an orchestration plan and then carry out the plan by invoking company APIs and accessing knowledge bases using Retrieval Augmented Generation (RAG) to provide an answer to the user’s request. In Part 1, we focus on creating accurate and reliable agents.

Best practices 94

Best practices APIs Metrics Accountability 94

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. For training a different model type, you can follow the API document to learn about how to apply SMP APIs. Benchmarking performance. Finally, we benchmark SMP with both of the latest features enabled.

Benchmark 80

Benchmark Engineering APIs Scripts 80

AWS Machine Learning

OCTOBER 31, 2022

To get started, follow Modify a PyTorch Training Script to adapt SMPs’ APIs in your training script. You can follow the comments in the script and API document to learn more about where SMP APIs are used. Benchmarking performance. We benchmarked sharded data parallelism in the SMP library on both 16 and 32 p4d.24xlarge

Scripts 74

Scripts Benchmark APIs Engineering 74

AWS Machine Learning

SEPTEMBER 26, 2024

This text-to-video API generates high-quality, realistic videos quickly from text and images. Set up the cluster To create the SageMaker HyperPod infrastructure, follow the detailed intuitive and step-by-step guidance for cluster setup from the Amazon SageMaker HyperPod workshop studio. Then manually delete the SageMaker notebook.

Scripts 113

Scripts APIs Metrics Management 113

AWS Machine Learning

SEPTEMBER 11, 2024

In terms of resulting speedups, the approximate order is programming hardware, then programming against PBA APIs, then programming in an unmanaged language such as C++, then a managed language such as Python. The CUDA API and SDK were first released by NVIDIA in 2007. GPU PBAs, 4% other PBAs, 4% FPGA, and 0.5%

Benchmark 93

Benchmark Banking Analytics Big data 93

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. We added the following argument to the trainer API in train_sentiment.py DLAMI + DLC.

Scripts 80

Scripts APIs Benchmark Management 80