Remove Linux Remove Machine Learning Remove Serverless
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Build and deploy a UI for your generative AI applications with AWS and Python

AWS Machine Learning - AI

Traditionally, building frontend and backend applications has required knowledge of web development frameworks and infrastructure management, which can be daunting for those with expertise primarily in data science and machine learning. You can download Python from the official website or use your Linux distribution’s package manager.

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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. The following diagram illustrates the solution architecture.

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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.

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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. It can be a local machine or a cloud instance. Performance optimization The serverless architecture used in this post provides a scalable solution out of the box.

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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.

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SAP and Databricks: Better Together

Perficient

Delta Sharing is an open-source protocol, developed by Databricks and the Linux Foundation , that provides strong governance and security for sharing data, analytics and AI across internal business units, clouds providers and applications. Data remains in its original location with Delta Sharing: you are sharing live data with no replication.

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AWS re:Invent 2019: Day One Recap

Linux Academy

Last year we saw huge announcements in Machine Learning and Artificial Intelligence, a push into space with AWS Ground Station and the usual list of service enhancements and upgrades that we come to expect from the universes largest cloud vendor. Machine Learning, Machine Learning, Machine Learning.

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