Remove Linux Remove Scalability Remove Serverless
article thumbnail

Use LangChain with PySpark to process documents at massive scale with Amazon SageMaker Studio and Amazon EMR Serverless

AWS Machine Learning - AI

That’s where the new Amazon EMR Serverless application integration in Amazon SageMaker Studio can help. In this post, we demonstrate how to leverage the new EMR Serverless integration with SageMaker Studio to streamline your data processing and machine learning workflows.

article thumbnail

Getting started with computer use in Amazon Bedrock Agents

AWS Machine Learning - AI

With computer use, Amazon Bedrock Agents can automate tasks through basic GUI actions and built-in Linux commands. For example, your agent could take screenshots, create and edit text files, and run built-in Linux commands. He is passionate about building scalable software solutions that solve customer problems.

AWS 131
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

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

AWS Machine Learning - AI

Prerequisites As a prerequisite, you need to enable model access in Amazon Bedrock and have access to a Linux or macOS development environment. You can download Python from the official website or use your Linux distribution’s package manager. Access to Amazon Bedrock foundation models is not granted by default. The AWS CDK.

article thumbnail

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

AWS Machine Learning - AI

Prerequisites To implement the solution outlined in this post, you must have the following: A Linux or MacOS development environment with at least 20 GB of free disk space. Performance optimization The serverless architecture used in this post provides a scalable solution out of the box.

article thumbnail

Build scalable Low-Code backends with Booster

The Agile Monkey

However, these tools may not be suitable for more complex data or situations requiring scalability and robust business logic. On the other hand, using serverless solutions from scratch can be time-consuming and require a lot of effort to set up and manage. Install the Booster CLI Booster is supported on macOS, Windows, and Linux.

article thumbnail

Build a serverless voice-based contextual chatbot for people with disabilities using Amazon Bedrock

AWS Machine Learning - AI

We explore how to build a fully serverless, voice-based contextual chatbot tailored for individuals who need it. The aim of this post is to provide a comprehensive understanding of how to build a voice-based, contextual chatbot that uses the latest advancements in AI and serverless computing. and Amazon Linux 2023.

article thumbnail

Beyond Visibility: Proactive Cloud Workload Security in the Real World

Prisma Clud

Even more interesting is the diversity of these workloads, notably serverless and platform as a service (PaaS) workloads, which account for 36% of cloud-based workloads , signifying their growing importance in modern technology landscapes. New applications often use scalable and cost-effective serverless functions.

Cloud 105