Integrate HyperPod clusters with Active Directory for seamless multi-user login | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2554639Time Stamp: Apr 22, 2024
Build an internal SaaS service with cost and usage tracking for foundation models on Amazon Bedrock | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2475388Time Stamp: Feb 9, 2024
Streamlining ETL data processing at Talent.com with Amazon SageMaker | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2419418Time Stamp: Dec 14, 2023
Fine-tune Llama 2 using QLoRA and Deploy it on Amazon SageMaker with AWS Inferentia2 | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2419443Time Stamp: Dec 13, 2023
Schneider Electric leverages Retrieval Augmented LLMs on SageMaker to ensure real-time updates in their ERP systems | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2358267Time Stamp: Oct 31, 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: 2344146Time Stamp: Oct 23, 2023
How United Airlines built a cost-efficient Optical Character Recognition active learning pipeline | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2285061Time Stamp: Sep 21, 2023
Fine-tune Falcon 7B and other LLMs on Amazon SageMaker with @remote decorator | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2270645Time Stamp: Sep 14, 2023
Train self-supervised vision transformers on overhead imagery with Amazon SageMaker | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2219883Time Stamp: Aug 16, 2023
Host the Spark UI on Amazon SageMaker Studio | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2203646Time Stamp: Aug 8, 2023
Enel automates large-scale power grid asset management and anomaly detection using Amazon SageMaker | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2178538Time Stamp: Jul 20, 2023
Technology Innovation Institute trains the state-of-the-art Falcon LLM 40B foundation model on Amazon SageMaker | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2129064Time Stamp: Jun 7, 2023
Configure and use defaults for Amazon SageMaker resources with the SageMaker Python SDK | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2117707Time Stamp: May 31, 2023
Predicting new and existing product sales in semiconductors using Amazon Forecast Source Cluster: AWS Machine Learning Source Node: 2049759Time Stamp: Apr 6, 2023
HAYAT HOLDING uses Amazon SageMaker to increase product quality and optimize manufacturing output, saving $300,000 annually Source Cluster: AWS Machine Learning Source Node: 2038707Time Stamp: Mar 29, 2023
Training large language models on Amazon SageMaker: Best practices Source Cluster: AWS Machine Learning Source Node: 1996458Time Stamp: Mar 6, 2023
Build a semantic search engine for tabular columns with Transformers and Amazon OpenSearch Service Source Cluster: AWS Big Data Source Node: 1987361Time Stamp: Mar 1, 2023
How Kakao Games automates lifetime value prediction from game data using Amazon SageMaker and AWS Glue Source Cluster: AWS Machine Learning Source Node: 1986893Time Stamp: Mar 1, 2023
Build a GNN-based real-time fraud detection solution using the Deep Graph Library without using external graph storage Source Cluster: AWS Machine Learning Source Node: 1985296Time Stamp: Feb 28, 2023
Identifying defense coverage schemes in NFL’s Next Gen Stats Source Cluster: AWS Machine Learning Source Node: 1951362Time Stamp: Feb 10, 2023