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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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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!

APIs 78
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Enhance speech synthesis and video generation models with RLHF using audio and video segmentation in Amazon SageMaker

AWS Machine Learning

As generative AI models advance in creating multimedia content, the difference between good and great output often lies in the details that only human feedback can capture. Amazon SageMaker Ground Truth enables RLHF by allowing teams to integrate detailed human feedback directly into model training.

APIs 102
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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.

Chatbots 112
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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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A guide to Amazon Bedrock Model Distillation (preview)

AWS Machine Learning

Text classification : Build faster models for categorizing high volumes of concurrent support tickets, emails, or customer feedback at scale; or for efficiently routing requests to larger models when necessary. You can optionally add request metadata to these inference requests to filter your invocation logs for specific use cases.

APIs 116
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How Twitch used agentic workflow with RAG on Amazon Bedrock to supercharge ad sales

AWS Machine Learning

In early 2024, Amazon launched a major push to harness the power of Twitch for advertisers globally. It evaluates each user query to determine the appropriate course of action, whether refusing to answer off-topic queries, tapping into the LLM, or invoking APIs and data sources such as the vector database.

Sales 102