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AI and coding: How Seattle tech companies are using generative AI for programming

Flipboard

Prompt: “A robot helping a software engineer develop code.” ” Generative AI is already changing the way software engineers do their jobs. The auto-complete and auto-suggestions in Visual Studio Code are pretty good, too, without being annoying. Made with Microsoft Bing Image Creator.

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AI Everywhere — No Kidding

Robot Writers AI

The Software Industry Re-Tools With AI Writers are King When It Comes to Getting the Most From the New Apps Responding to a new hunger for AI, some of the biggest titans in software — including Microsoft, Google and Salesforce — are coming out with new versions of their software suites that will be completely reworked by AI.

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Creating your whole codebase at once using LLMs – how long until AI replaces human developers?

deepsense.ai

We compare the existing solutions and explain how they work behind the scenes. We can define an AI Agent as a computer program or system that can perceive its environment, process information, and make decisions or take actions to achieve specific goals (such as solving software engineering problems). Spot on, buddy!

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Visual captions: Using large language models to augment video conferences with dynamic visuals

Google Research AI blog

Design space for augmenting verbal communication with dynamic visuals We invited 10 internal participants, each with various technical and non-technical backgrounds, including software engineers, researchers, UX designers, visual artists, students, etc., prompt": " →", "completion": " of " from " ; of " from " ; ?"}

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Centralize model governance with SageMaker Model Registry Resource Access Manager sharing

AWS Machine Learning Blog

Transparency and explainability : Making sure that AI systems are transparent, explainable, and accountable. However, explaining why that decision was made requires next-level detailed reports from each affected model component of that AI system. It can take up to 20 minutes for the setup to complete.

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Boost productivity on Amazon SageMaker Studio: Introducing JupyterLab Spaces and generative AI tools

AWS Machine Learning Blog

The flexible and extensible interface of SageMaker Studio allows you to effortlessly configure and arrange ML workflows, and you can use the AI-powered inline coding companion to quickly author, debug, explain, and test code. Complete the following steps to edit an existing space: On the space details page, choose Stop space.

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Unlock personalized experiences powered by AI using Amazon Personalize and Amazon OpenSearch Service

AWS Machine Learning Blog

This post explains how to integrate the Amazon Personalize Search Ranking plugin with OpenSearch Service to enable personalized search experiences. Complete the following steps to deploy the stack: Sign in to the AWS Management Console with your credentials in the account where you want to deploy the CloudFormation stack.