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Training large language models on Amazon SageMaker: Best practices

AWS Machine Learning

In this post, we dive into tips and best practices for successful LLM training on Amazon SageMaker Training. The post covers all the phases of an LLM training workload and describes associated infrastructure features and best practices. Some of the best practices in this post refer specifically to ml.p4d.24xlarge

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Centralize model governance with SageMaker Model Registry Resource Access Manager sharing

AWS Machine Learning

It also helps achieve data, project, and team isolation while supporting software development lifecycle best practices. Multi-account architecture for sharing models A multi-account strategy improves security, scalability, and reliability of your systems. To get started, set-up a name for your experiment. fit_transform(y).

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Configure an AWS DeepRacer environment for training and log analysis using the AWS CDK

AWS Machine Learning

An administrator can run the AWS CDK script provided in the GitHub repo via the AWS Management Console or in the terminal after loading the code in their environment. With the help of the AWS CDK, we can version control our provisioned resources and have a highly transportable environment that complies with enterprise-level best practices.

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What Is an AI Agent? Definition, Examples & Practical Applications

JustCall

They dont just follow scripts they learn, adapt, and take action in real time. Unlike traditional chatbots or automated phone menus, AI voice agents dont just follow a script. For example: Chatbots that follow scripts (If the customer asks about refunds, show the return policy). So whats the answer? AI voice agents.

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A day in the life of a WFH contact center agent

Talkdesk

Shipping: Customers who have questions concerning shipping delays, damaged products during transportation, incorrect orders, returns and exchanges, and more. Be prepared with questions or materials, such as call scripts to review and write down any action items your manager has given to you. .

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Why Call Center Quality Assurance Is So Important

Global Response

Not only does it ensure agents are using your known best practices, but it also enables your team to find and create best practices by listening and evaluating successful calls. FinTech, banking, healthcare, transportation, etc.) However, there are some best practices that you should know and implement.

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Build repeatable, secure, and extensible end-to-end machine learning workflows using Kubeflow on AWS

AWS Machine Learning

Amazon Cognito for user authentication with Transport Layer Security (TLS). Each project maintained detailed documentation that outlined how each script was used to build the final model. In many cases, this was an elaborate process involving 5 to 10 scripts with several outputs each.