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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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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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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.

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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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Managing Computer Vision Projects with Micha? Tadeusiak 

The MLOps Blog

Michal, to warm you up for all this question-answering, how would you explain to us managing computer vision projects in one minute? You would address it in a completely different way, depending on what’s the problem. Michal: As I explained at some point to me, I wouldn’t say it’s much more complex.

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MLOps Is an Extension of DevOps. Not a Fork — My Thoughts on THE MLOPS Paper as an MLOps Startup CEO

The MLOps Blog

Not a fork: – The MLOps team should consist of a DevOps engineer, a backend software engineer, a data scientist, + regular software folks. I don’t see what special role ML and MLOps engineers would play here. – Ok, let me explain. How about the ML engineer? Let me explain. Not a fork.

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