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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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Best practices for building robust generative AI applications with Amazon Bedrock Agents – Part 1

AWS Machine Learning

This two-part series explores best practices for building generative AI applications using Amazon Bedrock Agents. This data provides a benchmark for expected agent behavior, including the interaction with existing APIs, knowledge bases, and guardrails connected with the agent. user id 111 Today: 09/03/2024 Certainly!

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Innovate or Stagnate: Top 4 Customer Service Trends for 2024

Comm100

This blog will delve into the top four customer service trends that are expected to take center stage in 2024. The economic potential of generative AI: The next productivity frontier Of all the customer service trends for 2024, the advent of Generative AI is likely to have the greatest impact.

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A progress update on our commitment to safe, responsible generative AI

AWS Machine Learning

red teaming) In April 2024, we announced the general availability of Guardrails for Amazon Bedrock and Model Evaluation in Amazon Bedrock to make it easier to introduce safeguards, prevent harmful content, and evaluate models against key safety and accuracy criteria. In February 2024, Amazon joined the U.S.

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Configure Amazon Q Business with AWS IAM Identity Center trusted identity propagation

AWS Machine Learning

Additionally, Q Business conversation APIs employ a layer of privacy protection by leveraging trusted identity propagation enabled by IAM Identity Center. Amazon Q Business comes with rich API support to perform administrative tasks or to build an AI-assistant with customized user experience for your enterprise.

APIs 131
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The executive’s guide to generative AI for sustainability

AWS Machine Learning

It provides examples of use cases and best practices for using generative AI’s potential to accelerate sustainability and ESG initiatives, as well as insights into the main operational challenges of generative AI for sustainability. Throughout this lifecycle, implementing AWS Well-Architected Framework best practices is recommended.

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Five CX Trends From the 2024 Institute of Customer Service Conference

customer sure

We had a brilliant day talking to current and future clients, and we’re excited to share what we’ve learned (Sharing best practice is step 5 in the collaborative model we use when working alongside our clients to improve their VOC programme!) GPTs can do these tasks well, but they come with their own pros and cons.