Enable faster training with Amazon SageMaker data parallel library | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1921534Time Stamp: Dec 5, 2023
Welcome to a New Era of Building in the Cloud with Generative AI on AWS | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1920152Time Stamp: Nov 30, 2023
Introducing Amazon SageMaker HyperPod to train foundation models at scale | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1920802Time Stamp: Nov 30, 2023
Accelerate deep learning model training up to 35% with Amazon SageMaker smart sifting | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1921172Time Stamp: Nov 29, 2023
How Amazon Search M5 saved 30% for LLM training cost by using AWS Trainium | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1917751Time Stamp: Nov 22, 2023
KT’s journey to reduce training time for a vision transformers model using Amazon SageMaker | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1915775Time Stamp: Nov 20, 2023
Unpatched Critical Vulnerabilities Open AI Models to Takeover Source Cluster: Dark reading Source Node: 1914257Time Stamp: Nov 16, 2023
Fine-tune Whisper models on Amazon SageMaker with LoRA | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1914116Time Stamp: Nov 16, 2023
Putting AI challenges in perspective with partnerships Source Cluster: The Register Source Node: 1905686Time Stamp: Oct 25, 2023
From text to dream job: Building an NLP-based job recommender at Talent.com with Amazon SageMaker | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1905366Time Stamp: Oct 23, 2023
How Meesho built a generalized feed ranker using Amazon SageMaker inference | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1904144Time Stamp: Oct 20, 2023
Fast and cost-effective LLaMA 2 fine-tuning with AWS Trainium | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1898441Time Stamp: Oct 5, 2023
How United Airlines built a cost-efficient Optical Character Recognition active learning pipeline | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1892384Time Stamp: Sep 21, 2023
Orchestrate Ray-based machine learning workflows using Amazon SageMaker | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1891398Time Stamp: Sep 18, 2023
Falcon 180B foundation model from TII is now available via Amazon SageMaker JumpStart | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1888312Time Stamp: Sep 11, 2023
Announcing the Preview of Amazon SageMaker Profiler: Track and visualize detailed hardware performance data for your model training workloads | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1880263Time Stamp: Aug 24, 2023
Machine learning with decentralized training data using federated learning on Amazon SageMaker | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1879135Time Stamp: Aug 22, 2023
Optimize AWS Inferentia utilization with FastAPI and PyTorch models on Amazon EC2 Inf1 & Inf2 instances | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1865423Time Stamp: Jul 24, 2023
Effectively solve distributed training convergence issues with Amazon SageMaker Hyperband Automatic Model Tuning | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1859987Time Stamp: Jul 13, 2023
Fine-tune GPT-J using an Amazon SageMaker Hugging Face estimator and the model parallel library | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1847131Time Stamp: Jun 12, 2023