#Generative AI (GenAI)

Hi Developers!

Here're the technology bonuses for the InterSystems AI Programming Contest: Vector Search, GenAI and AI Agents that will give you extra points in the voting:

• Agent AI solution - 5
• Vector Search usage - 4
• Embedded Python - 3
• LLM AI or LangChain usage: Chat GPT, Bard, and others - 3
• IntegratedML usage - 3
• Docker container usage - 2 
• ZPM Package deployment - 2
• Online Demo - 2
• Implement InterSystems Community Idea - 4
• Find a bug in Vector Search, or Integrated ML, or Embedded Python - 2
• First Article on Developer Community - 2
• Second Article On DC - 1
• First Time Contribution - 3
• Video on YouTube - 3
• Suggest a new idea - 1

See the details below.

Introduction

To achieve optimized AI performance, robust explainability, adaptability, and efficiency in healthcare solutions, InterSystems IRIS serves as the core foundation for a project within the x-rAI multi-agentic framework. This article provides an in-depth look at how InterSystems IRIS empowers the development of a real-time health data analytics platform, enabling advanced analytics and actionable insights. The solution leverages the strengths of InterSystems IRIS, including dynamic SQL, native vector search capabilities, distributed caching (ECP), and FHIR interoperability. This innovative approach directly aligns with the contest themes of "Using Dynamic SQL & Embedded SQL," "GenAI, Vector Search," and "FHIR, EHR," showcasing a practical application of InterSystems IRIS in a critical healthcare context.

Hi Community,

This is a detailed, candid walkthrough of the IRIS AI Studio platform. I speak out loud on my thoughts while trying different examples, some of which fail to deliver expected results -  which I believe is a need for such a platform to explore different models, configurations and limitations. This will be helpful if you're interested in how to build 'Chat with PDF' or data recommendation systems using IRIS DB and LLM models.

Hi Community,

We're pleased to invite you to the upcoming webinar in Hebrew:

👉 Hebrew Webinar: GenAI + RAG - Leveraging Intersystems IRIS as your Vector DB👈

📅 Date & time: February 26th, 3:00 PM IDT

Hi all! Here I would like to share how we use vector search and GenAI with InterSystems technology. As an example, I'll describe BG-AppealAI project, which our company submitted to the InterSystems Vector Search, GenAI and ML Contest. BG-AppealAI application can write an appeal if you upload an insurance contract and the insurance company’s letter with a refusal to pay medical expenses. Of course, we are aware that at the moment AI has not reached such a level as to create ready-made legal documents.

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!

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

⏯ Open Source and Proprietary LLMs

Hey Community!

Check out the new video dedicated to Gen AI on our InterSystems Developers YouTube:

⏯ Healthcare Use-Case: Patient Portal Messages

Hi Community,

We're excited to invite you to the webinar 2025 Data Management: Technology Trends & Predictions.

Join this webinar for an engaging and insightful tech talk on the latest trends in data management technology in the UK and Ireland.

⏱ Date & Time: Thursday, January 23, 10:30 AM GMT

👨‍🏫 Speakers: 

• Andy Hayler, Practice Leader, Bloor Research
• @Mike Fuller, Regional Director of Marketing, InterSystems UK&I

I want to provide a shortcut to the D.C. A.I. from a hotkey which will automatically populate the question field here - https://community.intersystems.com/ask-dc-ai.

Is there a way to construct this URL such that it will populate the "Ask a Programming Question" field (and better yet, execute the query)?

Thanks!

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.

Hi Community,

Enjoy the new video on InterSystems Developers YouTube:

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

Hi Community!

Ceck out the new video dedicated to Gen AI on our InterSystems Developers YouTube:

⏯ Keeping your data private and protected with RAG

Hi Community,

I want to share with you the lastest app that I have uploaded to the Open Exchange "IrisGoogleChat". 

IrisGoogleChat is a utility for InterSystems IRIS that allows seamless message integration with Google Chat using Cache ObjectScript. This application provides a set of tools to configure Google Chat Channels, create messages powered by moods generated with AI and send them to a Google Chat Channel.

In order to provide the desired mood to your messages you will need an API key and an organization ID of OpenAI Chat GPT.

🌍 Inclusion & Innovation in Education 🌍
Our project reimagines learning for all students, with a focus on accessibility and interactive experiences. Built with the goal of making education engaging and inclusive, the tool is designed to support students of all abilities in learning complex material in an intuitive way.

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

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.

Generative AI is artificial intelligence capable of generating text, images and other types of content. What makes it a fantastic technology is that it democratizes AI, anyone can use it with as little as a text prompt, a sentence written in a natural language.

Hey Community,

Watch the new video on InterSystems Developers YouTube:

⏯ Smart Data Fabric for Generative AI Readiness @ Global Summit 2024

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:

In the process of creating a RAG application, choosing an LLM model that is appropriate to your needs (trained in the corresponding subject, costs, speed, etc.) is as important as having a clear understanding of the context you want to provide. Let's start by defining the term to be clear about what we mean by context.

What is context?

Hi Community!

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

⏯ Fine-Tuning - second step of GenAI model training

You have probably heard a lot about LLMs (Large Language Models) and the associated development of RAG (Retrieval Augmented Generation) applications over the last year. Well, in this series of articles we will explain the fundamentals of each term used and see how to develop a simple RAG application.

What is an LLM?

LLM models are part of what we know as generative AI and their foundation is the vectorization of huge amounts of texts.

Hi Community,

A new GenAI-supported tool is coming to the online documentation and learning sites! What will it be called?

Take a 5-minute survey and share your reactions to possible names!

Hi Community!

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

⏯ Pre-training - first step of GenAI model training

Hi, Community!

Want to dive deeper into the concepts of vector searches and embeddings? Learn from an InterSystems expert:

What Are Embeddings?

Hey Developers,

Play the new video on InterSystems Developers YouTube:

⏯ Chatbots are all the RAGe: Generative AI with InterSystems IRIS @ Global Summit 2024

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

Hey Community,

We're excited to introduce a new series of videos dedicated to Gen AI on our InterSystems Developers YouTube:

⏯ 3 GenAI Model Training Opportunities

Hi, Community!

Curious how a retrieval-augmented generation (RAG) application works? Take a look at this demonstration:

Exploring a Basic RAG Application

Hi, Community!

Ready to create a retrieval-augmented generation (RAG) architecture for your next GenAI application? See how to get started:

Setting Up Your Generative AI Development Environment

Hi, Community!

Are you ready to start developing a generative AI application? Learn how you can make it as effective as possible:

Planning Your Generative AI Project