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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

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Product News – April 2024

Lumoa

Lumoa Product News for April 2024 Hey everyone! Note that you will need to be logged in to Lumoa in order to access certain guides: [link] – This is the new place where we will be hosting our API documentation Finnish Knowledge Base – We have some articles translated to Finnish, with more on the way! Thanks for reading!

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Five CX Trends From the 2024 Institute of Customer Service Conference

customer sure

Can AI really better-inform the actions we should be taking as a result of customer feedback? You might be able to get the same results from an AI API that Google or Amazon have offered for the past decade, which have significantly more real-world testing. This feedback (both quantitative and qualitative) can’t sit in isolation.

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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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Brilliant words, brilliant writing: Using AWS AI chips to quickly deploy Meta LLama 3-powered applications

AWS Machine Learning

In this blog post, we will introduce how to use an Amazon EC2 Inf2 instance to cost-effectively deploy multiple industry-leading LLMs on AWS Inferentia2 , a purpose-built AWS AI chip, helping customers to quickly test and open up an API interface to facilitate performance benchmarking and downstream application calls at the same time.

APIs 82
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Principal Financial Group uses QnABot on AWS and Amazon Q Business to enhance workforce productivity with generative AI

AWS Machine Learning

In business for 145 years, Principal is helping approximately 64 million customers (as of Q2, 2024) plan, protect, invest, and retire, while working to support the communities where it does business and build a diverse, inclusive workforce. As Principal grew, its internal support knowledge base considerably expanded.

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Accelerate custom labeling workflows in Amazon SageMaker Ground Truth without using AWS Lambda

AWS Machine Learning

Whether it’s annotating images, videos, or text, SageMaker Ground Truth allows you to build accurate datasets while maintaining human oversight and feedback at scale. These functions are now optional on both the SageMaker console and the CreateLabelingJob API. George King is a summer 2024 intern at Amazon AI.

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