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GraphStorm 0.3: Scalable, multi-task learning on graphs with user-friendly APIs

AWS Machine Learning

adds new APIs to customize GraphStorm pipelines: you now only need 12 lines of code to implement a custom node classification training loop. To help you get started with the new API, we have published two Jupyter notebook examples: one for node classification, and one for a link prediction task. Specifically, GraphStorm 0.3

APIs 116
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Your guide to generative AI and ML at AWS re:Invent 2024

AWS Machine Learning

Gain insights into training strategies, productivity metrics, and real-world use cases to empower your developers to harness the full potential of this game-changing technology. Discover how to create and manage evaluation jobs, use automatic and human reviews, and analyze critical metrics like accuracy, robustness, and toxicity.

APIs 85
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Governing the ML lifecycle at scale: Centralized observability with Amazon SageMaker and Amazon CloudWatch

AWS Machine Learning

SageMaker Model Monitor emits per-feature metrics to Amazon CloudWatch , which you can use to set up dashboards and alerts. You can use cross-account observability in CloudWatch to search, analyze, and correlate cross-account telemetry data stored in CloudWatch such as metrics, logs, and traces from one centralized account.

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Node problem detection and recovery for AWS Neuron nodes within Amazon EKS clusters

AWS Machine Learning

If it detects error messages specifically related to the Neuron device (which is the Trainium or AWS Inferentia chip), it will change NodeCondition to NeuronHasError on the Kubernetes API server. The node recovery agent is a separate component that periodically checks the Prometheus metrics exposed by the node problem detector.

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Top 5 Call Center Quality Assurance Software for 2024

Balto

Here’s the good news: in 2024, we have a wide array of capable call center quality assurance software solutions that can streamline QA processes, automate manual tasks, and deliver insightful reports to support decision-making. The post Top 5 Call Center Quality Assurance Software for 2024 appeared first on Balto.

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Amazon Bedrock Custom Model Import now generally available

AWS Machine Learning

This feature empowers customers to import and use their customized models alongside existing foundation models (FMs) through a single, unified API. Having a unified developer experience when accessing custom models or base models through Amazon Bedrock’s API. Ease of deployment through a fully managed, serverless, service. 2, 3, 3.1,

APIs 139
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DXC transforms data exploration for their oil and gas customers with LLM-powered tools

AWS Machine Learning

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies such as AI21 Labs, Anthropic, Cohere, Meta, Mistral, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

APIs 99