#Generative AI (GenAI)

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Generative AI refers to algorithms and models in artificial intelligence that are capable of generating new data or content that is similar to existing data. These models are trained on large datasets and learn to generate new examples that mimic the patterns and characteristics of the original data.

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Announcement Anastasia Dyubaylo · Jan 6, 2025

[Webinar] 2025 Data Management: Technology Trends & Predictions

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

2025 Tech Talk Tech Trends & Predictions.png

#Other #Artificial Intelligence (AI) #Cloud #Events #Generative AI (GenAI) #Interoperability #Webinar
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Article Iryna Mykhailova · Mar 11, 2024 8m read

Generating meaningful test data using Gemini

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.

#InterSystems IRIS #Artificial Intelligence (AI) #Best Practices #Generative AI (GenAI) #Tutorial
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Article Daniel Aguilar · Nov 11, 2024 4m read

IrisGoogleChat with AI

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.

#InterSystems IRIS #Generative AI (GenAI)
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Article Rolano Rebelo · Nov 11, 2024 3m read

EduVerse: Accessible Learning Assistant

🌍 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.

💡 What It Does
This educational app transforms lesson presentations into interactive study sessions:

#InterSystems IRIS #Artificial Intelligence (AI) #Generative AI (GenAI) #Large Language Model (LLM) #Natural Language Processing #Python #React #REST API #Vector Search
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Article Muhammad Waseem · Apr 1, 2024 2m read

Overview of Generative AI - Part1


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.

#Other #Artificial Intelligence (AI) #ChatGPT #Generative AI (GenAI) #Large Language Model (LLM)
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Article Luis Angel Pérez Ramos · Oct 14, 2024 6m read

LLM Models and RAG Applications Step-by-Step - Part II - Creating the Context

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?

#InterSystems IRIS #Artificial Intelligence (AI) #Generative AI (GenAI) #Vector Search
Open Exchange
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Article Luis Angel Pérez Ramos · Oct 8, 2024 4m read

LLM Models and RAG Applications Step-by-Step - Part I - Introduction

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?

#InterSystems IRIS #Generative AI (GenAI)
Open Exchange
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Article Muhammad Waseem · Jul 31, 2024 5m read

IRIS-RAG-Gen: Personalizing ChatGPT RAG Application Powered by IRIS Vector Search

image
Hi Community,
In this article, I will introduce my application iris-RAG-Gen .

Iris-RAG-Gen is a generative AI Retrieval-Augmented Generation (RAG) application that leverages the functionality of IRIS Vector Search to personalize ChatGPT with the help of the Streamlit web framework, LangChain, and OpenAI. The application uses IRIS as a vector store.
image

Application Features

  • Ingest Documents (PDF or TXT) into IRIS
  • Chat with the selected Ingested document
  • Delete Ingested Documents
  • OpenAI ChatGPT
#Caché #Open Exchange #ChatGPT #Docker #Embedded Python #Generative AI (GenAI) #Large Language Model (LLM) #SQL #Vector Search
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Article Alex Alcivar · Jul 27, 2024 7m read

An Expanded Explanation of RAG, Vector Search, and how it is implemented on IRIS in the IRIS RAG App

I received some really excellent feedback from a community member on my submission to the Python 2024 contest. I hope its okay if I repost it here:

you build a container more than 5 times the size of pure IRIS

and this takes time

container start is also slow but completes

backend is accessible as described

a production is hanging around

frontend reacts

I fail to understand what is intended to show

the explanation is meant for experts other than me

The submission is here: https://openexchange.intersystems.com/package/IRIS-RAG-App

#InterSystems IRIS #Artificial Intelligence (AI) #ChatGPT #CSS #Frontend #Generative AI (GenAI) #Interoperability #JavaScript #Python #Vector Search
Open Exchange
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