Keyhole Software is excited to announce the release of EnterpriseGPT, a powerful web application designed to help enterprise IT organizations leverage AI while maintaining control over their sensitive data. Built to integrate with OpenAI’s GPT-3.5 and GPT-4.0, EnterpriseGPT offers a tailored, secure solution for businesses seeking AI-driven efficiency. EnterpriseGPT addresses a common concern in the industry: protecting proprietary code and …
Lately, the buzz about AI has been inescapable among my peers – especially around OpenAI’s GPT-4 and its implementations: Chat GPT, VideoGPT, and DALL·E. Tools like these are rapidly changing how we interact with and develop on the internet. They are defining our future. Web 5.0 is here, believe it or not, and AI is a big part of that.
Using Open AI’s GPT-4 doesn’t come without some controversy, but the implementation of CodeGPT within VS Code should not cause concern. Time-traveling, unstoppable intelligent robots are not coming after you… at least not just yet.
In this post, I’ll briefly cover why using CodeGPT is helpful, how to use it, and how to set it up. Let’s get started!
We are excited to announce Keyhole Software’s partnership with Microsoft to sponsor Azure App Modernization and Innovation Day on April 15, 2020.
During this free community event, attendees will have the opportunity to learn about Azure developer services and the latest on industry trends from Azure application development experts.
The agenda for the day will include three presentations with topics such as Azure App Services, Serverless Computing, Microservices & Containers, DevOps on Azure, AI for Developers and more!
We are excited to announce Keyhole Software’s partnership with Microsoft to sponsor Azure App Modernization and Innovation Day on April 15th, 2020.
During this free community event, attendees will have the opportunity to learn about Azure developer services and the latest on industry trends from Azure application development experts.
The agenda for the day will include three presentations with topics such as Azure App Services, Serverless Computing, Microservices & Containers, DevOps on Azure, AI for Developers and more!
Machine learning is a hot topic these days because the biggest tech companies are focused on taking this technology to a new level. For instance, to help develop autonomous driving cars, better interaction between you and your house with products like the Amazon Echo.
Machine learning is a core sub-area of artificial intelligence. Machine learning enables computers to self-learn without being explicitly programmed. As new data comes available, the computer has the ability to learn, grow, change, and develop itself to make better decision in the future. This technology will help reduce the workload and possible incorrect diagnoses when radiologist read films, reducing the amount of accidents on our highways caused by human error, possible reduction of inappropriate message / images / videos from bullying on social network sites.
This article will touch on one of the many Artificial Intelligence API’s that Microsoft has built for public consumption. We will specifically focus on the step-by-step process of uploading a picture, passing that picture onto the Microsoft Cognitive Services – Computer Vision API, and retrieving different attributes about that image. This is an aspect of AI technology that companies like Facebook & Google are using to try to stop bullying and other issue within social networking. Let’s get started…
