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Build and deploy a UI for your generative AI applications with AWS and Python

AWS Machine Learning - AI

In this post, we explore a practical solution that uses Streamlit , a Python library for building interactive data applications, and AWS services like Amazon Elastic Container Service (Amazon ECS), Amazon Cognito , and the AWS Cloud Development Kit (AWS CDK) to create a user-friendly generative AI application with authentication and deployment.

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Build a custom UI for Amazon Q Business

AWS Machine Learning - AI

The workflow includes the following steps: The user accesses the chatbot application, which is hosted behind an Application Load Balancer. For instructions, refer to How do I integrate IAM Identity Center with an Amazon Cognito user pool and the associated demo video. The following diagram illustrates the solution architecture.

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Create a generative AI–powered custom Google Chat application using Amazon Bedrock

AWS Machine Learning - AI

Although we previously demonstrated a usage scenario that involves a direct chat with the Amazon Bedrock application, you can also invoke the application from within a Google chat space, as illustrated in the following demo. You can also fine-tune your choice of Amazon Bedrock model to balance accuracy and speed.

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AWS vs. Azure vs. Google Cloud: Comparing Cloud Platforms

Kaseya

In addition, you can also take advantage of the reliability of multiple cloud data centers as well as responsive and customizable load balancing that evolves with your changing demands. Request a demo today! Access to a Diverse Range of Tools. What Are the Advantages of Google Cloud? TB of RAM and 128 vCPUs at US$3.97/hour

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Using Device Telemetry to Answer Questions About Your Network Health

Kentik

Your switches, servers, transits, gateways, load balancers, and more are all capturing critical information about their resource utilization and traffic characteristics. Although the full utility of AI and ML in NetOps is emerging, having access to a unified data platform gives these technologies richer datasets.

Network 97
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What’s Free at Linux Academy — March 2019

Linux Academy

Hadoop Quick Start — Hadoop has become a staple technology in the big data industry by enabling the storage and analysis of datasets so big that it would be otherwise impossible with traditional data systems. Big Data Essentials — Big Data Essentials is a comprehensive introduction to the world of big data.

Linux 80
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Implementing a Cost-aware Cloud Networking Infrastructure

Kentik

Gaining access to these vast cloud resources allows enterprises to engage in high-velocity development practices, develop highly reliable networks, and perform big data operations like artificial intelligence, machine learning, and observability.

Network 97