artificial-intelligence

23 posts

In this post, we’ll demonstrate how to configure an Amazon Q Business application and add a custom plugin that gives users the ability to use a natural language interface provided by Amazon Q Business to query real-time data and take actions in ServiceNow.

Siddhartha Angara12/18/2024

GitHub Next launched the technical preview for GitHub Copilot Workspace in April 2024. Since then, we’ve been listening to the community, learning, and have some tips to share on how to get the most out of it! The post 5 tips and tricks when using GitHub Copilot Workspace appeared first on The GitHub Blog.

Chris Reddington10/9/2024

Explore the capabilities and benefits of AI code generation, and how it can improve the developer experience for your enterprise. The post How AI code generation works appeared first on The GitHub Blog.

Jeimy Ruiz2/22/2024

(This article originally appeared on LinkedIn) Advancements in AI consumed our attention and drove massive business considerations in 2023. Seemingly overnight, Generative AI (GAI) went mainstream – quickly becoming more deeply embedded across organizations and in everyone’s day-to-day work. Executives recognize the potential value GAI can bring to their organizations with 74% seeing at least one way it will benefit their employees, according to our September 2023 U.S. Executive Confidence Index. For engineering leaders, the focus in 2024 will be on how to best harness the potential […]

1/11/2024

Co-Authors: Shubham Agarwal and Rishi Gupta At LinkedIn, we work every day to deliver a safe and trusted experience for our members and customers. A key part of this work is our content abuse defense systems, which function behind the scenes to help detect and remove policy-violating content from the platform, while helping surface professional, relevant, and meaningful content that adds value to the member experience. We rigorously invest in enhancing these defense systems, which are a foundational pillar to maintaining member trust and safety and delivering a positive member […]

Shubham Agarwal12/20/2023

Hacktoberfest has wrapped up, GitHub Universe has come to a close, and our community has been super hard at work. All the while people enjoyed turkey over Thanksgiving in the United States and Canada and expressed gratitude for those around them. In this edition, we’d like to thank the open source community for all the […] The post Release Radar · End of 2023 Edition appeared first on The GitHub Blog.

Michelle Mannering12/19/2023

As Hacktoberfest comes to a close, you still have a day or so left to complete and submit your pull requests. If you’re struggling to think of projects to contribute to, our picks below might help you. This edition of the Release Radar covers a few projects that shipped major version updates this August and […] The post Release Radar · Hacktoberfest 2023 Edition appeared first on The GitHub Blog.

Michelle Mannering10/31/2023

Reading Time: 12 minutes This post provides a range of practical information to help developers build Forge apps providing AI capabilities. Forge provides a range of features and simplifies development and hosting so it’s a great option for exploring AI development. The post The basics of creating a Forge AI app appeared first on Atlassian Developer Blog.

Dugald Morrow9/6/2023

It’s been a while since we’ve published our Release Radar. You can blame IRL conferences coming back, getting influenza, and being struck down by the weather. But those are just me problems. While I’ve been down or travelling, the community has been hard at work shipping new releases and new projects. So, we thought we’d […]

Michelle Mannering7/14/2023

Today at Collision Conference we unveiled breaking new research on the economic and productivity impact of generative AI–powered developer tools. The research found that the increase in developer productivity due to AI could boost global GDP by over $1.5 trillion.

Thomas Dohmke6/27/2023

Co-authors: Shivansh Mundra, Gonzalo Aniano Porcile, Smit Marvaniya, Hany Farid A core part of what we do on the Trust Data Team at LinkedIn is create, deploy, and maintain models that detect and prevent many types of abuse. This spans the detection and prevention of fake accounts, account takeovers, and policy-violating content. We are constantly working to improve and increase the effectiveness of our anti-abuse defenses to protect the experiences of our members and customers. And as part of our ongoing work, we’ve been partnering with academia to stay one step ahead of new types […]

James Verbus6/20/2023