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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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Big Data & AI News | Google Cloud Next 19 | Day Two Recap

Linux Academy

Thomas Kurian, CEO of Google Cloud, introduced Traffic Director, the new global traffic management service for VMs and containers as well as Cloud Run, which allows you to run any container in a serverless environment. Cloud Data Fusion. Big data got some big news today as well. And there’s more to come!

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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. Performance optimization The serverless architecture used in this post provides a scalable solution out of the box.

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Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AWS Machine Learning - AI

Knowledge Bases is completely serverless, so you don’t need to manage any infrastructure, and when using Knowledge Bases, you’re only charged for the models, vector databases and storage you use. RAG is a popular technique that combines the use of private data with large language models (LLMs). The OpenSearch Serverless collection.

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Real-Time Analytics and Monitoring Dashboards with Apache Kafka and Rockset

Confluent

Regardless of whether your data is coming from edge devices, on-premises datacenters, or cloud applications, you can integrate them with a self-managed Kafka cluster or with Confluent Cloud ([link] which provides serverless Kafka, mission-critical SLAs, consumption-based pricing, and zero efforts on your part to manage the cluster.

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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. The resulting network can be considered multi-cloud.

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What Is Cloud Computing? Services, Types, Advantages and Use Cases

Kaseya

Here are some of them: Function-as-a-Service (FaaS) or Serverless Computing: FaaS provides a platform that allows users to execute code in response to specific events without managing the complex infrastructure typically associated with building and launching microservices applications. The post What Is Cloud Computing?

Cloud 105