#Artificial Intelligence (AI)

Hi Community,

Enjoy the new video on InterSystems Developers YouTube:

⏯ Adapt AI to your Existing Architecture @ Global Summit 2024

Hi Community,

Enjoy the new video on InterSystems Developers YouTube:

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

Hey Community,

Play the new video on InterSystems Developers YouTube:

⏯ Human Centered AI: Shaping a Just and Ethical Future in Health Technology @ Global Summit 2024

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Hi Community,

Play the new video on InterSystems Developers YouTube:

⏯ How to Fail with AI (and how to succeed!) @ Global Summit 2024

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

Hey Community,

Watch the new video on InterSystems Developers YouTube:

⏯ Securing AI Implementations - Moving from Experimentation to Production @ Global Summit 2024

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.

Hi Community,

Play the new video on InterSystems Developers YouTube:

⏯ How We Used AI to Build Faster Sell More and Support Better @ 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

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

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.

In theory Cody can view, and send to the AI, the file I'm currently editing. However, it does not seem to "see" Cache server items, and only works for stuff in ordinary files that I have open. Is this an issue with "isfs" ("InterSystems File Service" that implements the "filesystem provider API" )? Is anyone else using Cody or any other AI extension successfully?

Thanks,

Mike

Hi Community,

Are you ready to transform your healthcare organization with the power of Artificial Intelligence? Join us for an enlightening webinar that will equip you with the knowledge and tools to harness AI effectively in your practice.

🌐 Are you and your data AI ready? 🌐

📅 Tuesday, 15th October, 1 pm ICT | 2 pm SGT| 4 pm AEST // 8 am CEST |  2 am EDT 

🗣 Presenter: @Kathleen Aller, Global Head of Healthcare Market Strategy, InterSystems

Hi Community,

Play the new video on InterSystems Developers YouTube:

⏯ Deployment Considerations for Your AI Solution @ Global Summit 2024

Hi, Community!

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

What Are Embeddings?

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

Hi Community,

Play the new video on InterSystems Developers YouTube:

⏯ InterSystems IRIS Vector Search and the Python Ecosystem @ Global Summit 2024

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. InterSystems IRIS Data Platform answers that with and add-on of Adaptive Analytics that can deliver this unified semantic layer. There are a lot of articles in DevCommunity about using it via BI tools. This article will cover the part of how to consume it with AI and also how to put some insights

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

Hey Community!

We’re thrilled to invite you to an exciting LinkedIn Live session dedicated to the most common myths and misconceptions surrounding AI!

🌐 Debunking AI Myths with Expert Insights 🌐

📅 Thursday, September 5th, 10 am EDT | 4 pm CEST

🗣 Presenters:

• @John Paladino, Head of Client Services, InterSystems
• Tobias Zwingmann, AI Expert

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

Hi, Community!

Are you building generative AI applications? See how a retrieval-augmented generation (RAG) architecture can help:

Exploring the Benefits of RAG

Hi, Community!

How can you get your data ready for generative AI applications? Get some key tips from an InterSystems expert:

Preparing Your Data for Use with Generative AI

Hi, Community!

Are you using generative AI tools for development? Let InterSystems principles be your guiding star! 🌟 Learn about the company's approach:  

Using Generative AI Responsibly

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

In the previous article we presented the d[IA]gnosis application developed to support the coding of diagnoses in ICD-10. In this article we will see how InterSystems IRIS for Health provides us with the necessary tools for the generation of vectors from the ICD-10 code list using a pre-trained language model, its storage and the subsequent search for similarities on all these generated vectors.

Introduction

Hi, Community!

Need to learn how to write better prompts for GenAI? This video from Learning Services introduces six key strategies:

▶ Optimizing Your Prompts for Generative AI

The invention and popularization of Large Language Models (such as OpenAI's GPT-4) has launched a wave of innovative solutions that can leverage large volumes of unstructured data that was impractical or even impossible to process manually until recently. Such applications may include data retrieval (see Don Woodlock's ML301 course for a great intro to Retrieval Augmented Generation), sentiment analysis, and even fully-autonomous AI agents, just to name a few!