#Artificial Intelligence (AI)

We all know that having a set of proper test data before deploying an application to production is crucial for ensuring its reliability and performance. It allows to simulate real-world scenarios and identify potential issues or bugs before they impact end-users. Moreover, testing with representative data sets allows to optimize performance, identify bottlenecks, and fine-tune algorithms or processes as needed. Ultimately, having a comprehensive set of test data helps to deliver a higher quality product, reducing the likelihood of post-production issues and enhancing the overall user experience.

In this article, let's look at how one can use generative AI, namely Gemini by Google, to generate (hopefully) meaningful data for the properties of multiple objects. To do this, I will use the RESTful service to generate data in a JSON format and then use the received data to create objects.

Learning LLM Magic

The world of Generative AI has been pretty inescapable for a while, commercial models running on paid Cloud instances are everywhere. With your data stored securely on-prem in IRIS, it might seem daunting to start getting the benefit of experimentation with Large Language Models without having to navigate a minefield of Governance and rapidly evolving API documentation. If only there was a way to bring an LLM to IRIS, preferably in a very small code footprint....

Hi Community,

Enjoy the new video on InterSystems Developers YouTube:

⏯ Succeeding with AI @ Global Summit 2024

https://www.youtube.com/embed/RoKxtWtyu1g
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Hi Community,

Enjoy the new video on InterSystems Developers YouTube:

⏯ Big Data, AI and ChatGPT in Healthcare @ Global Summit 2024

https://www.youtube.com/embed/WjdO7fZmm5c
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Hi Community!

We're happy to share the next video in the series dedicated to Gen AI on our InterSystems Developers YouTube:

⏯ Prompt before the prompt - third step of GenAI model training

https://www.youtube.com/embed/6mR1AQRR_G0
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Generative artificial intelligence is artificial intelligence capable of generating text, images or other data using generative models, often in response to prompts. Generative AI models learn the patterns and structure of their input training data and then generate new data that has similar characteristics.

We continue with this series of articles on LLM and RAG applications and in this article we will discuss the red boxed part of the following diagram:

Hey Community,

Watch this video to learn how InterSystems partner Mirus uses InterSystems IRIS to deliver clean data from multiple systems and feed a robust AI model that ensures that providers receive full funding for each resident while reducing administrative burden:

⏯ Using AI to Automate and Improve Resident Funding in Nursing Homes @ Global Summit 2024

https://www.youtube.com/embed/OndcY7ZKzuE
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hi everyone,

I'm trying to make some use of AI to help with coding. To achieve this I've moved to VS Code linking to a cache instance, and installed the "Cody" extension from Sourcegraph that talks to Claude Sonnet.

Hi Community,

Play the new video on InterSystems Developers YouTube:

⏯ Deployment Considerations for Your AI Solution @ Global Summit 2024

https://www.youtube.com/embed/67luu0OpAIU
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Hi, Community!

What components and libraries can you add to your retrieval-augmented generation (RAG) applications? Find out in this video:

Identifying Useful Components for Your Generative AI Application

https://www.youtube.com/embed/dVgzCtpMghE?utm_source=youtube&utm_medium=social&utm_campaign=dVgzCtpMghE
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In today's data landscape, businesses encounter a number of different challenges. One of them is to do analytics on top of unified and harmonized data layer available to all the consumers. A layer that can deliver the same answers to the same questions irrelative to the dialect or tool being used.

Hi Community!

We hope you enjoyed our Developer Community AI sweepstakes and learned something new while interacting with our DC AI. Now, it's time to announce the winner!

https://www.youtube.com/embed/_4bbKTFgO58
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