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Revolutionizing large language model training with Arcee and AWS Trainium

AWS Machine Learning

Now you can launch a training job to submit a model training script as a slurm job. Finally, convert the saved checkpoints back to a standard format for subsequent use, employing scripts for seamless conversion. Malikeh Ehghaghi is an Applied NLP Research Engineer at Arcee. Create and launch ParallelCluster in the VPC.

APIs 103
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Automatically generate impressions from findings in radiology reports using generative AI on AWS

AWS Machine Learning

Adewale Akinfaderin is a Senior Data Scientist in Healthcare and Life Sciences at AWS. His expertise is in reproducible and end-to-end AI/ML methods, practical implementations, and helping global healthcare customers formulate and develop scalable solutions to interdisciplinary problems.

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Promote pipelines in a multi-environment setup using Amazon SageMaker Model Registry, HashiCorp Terraform, GitHub, and Jenkins CI/CD

AWS Machine Learning

Under Advanced Project Options , for Definition , select Pipeline script from SCM. For Script Path , enter Jenkinsfile. upload_file("pipelines/train/scripts/raw_preprocess.py","mammography-severity-model/scripts/raw_preprocess.py") s3_client.Bucket(default_bucket).upload_file("pipelines/train/scripts/evaluate_model.py","mammography-severity-model/scripts/evaluate_model.py")

Scripts 102
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Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AWS Machine Learning

In the following sections, we demonstrate how to build a RAG workflow using Knowledge Bases for Amazon Bedrock, backed by the OpenSearch Serverless vector engine, to analyze an unstructured clinical trial dataset for a drug discovery use case. AI/ML Solutions Architect in the Global Healthcare and Life Sciences team.

APIs 116
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Enable fully homomorphic encryption with Amazon SageMaker endpoints for secure, real-time inferencing

AWS Machine Learning

Leidos is a FORTUNE 500 science and technology solutions leader working to address some of the world’s toughest challenges in the defense, intelligence, homeland security, civil, and healthcare markets. At this stage, you may also need to do additional feature engineering of your dataset or integrate with different offline feature stores.

Scripts 97
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Build and train computer vision models to detect car positions in images using Amazon SageMaker and Amazon Rekognition

AWS Machine Learning

Two components need to be configured in our inference script : model loading and model serving. About the Authors Michael Wallner is a Senior Consultant Data & AI with AWS Professional Services and is passionate about enabling customers on their journey to become data-driven and AWSome in the AWS cloud. So, get started today!

APIs 63
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11 Keys to Designing Effective IVAs

DMG Consulting

Organizations are starting to engineer service experiences that combine the best of self-service automation with human-assisted elements, a win-win for enterprises looking to reduce operating costs. At the same time, customers benefit from individualized customer experiences.