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

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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

https://www.youtube.com/embed/bICelhYI55Y?utm_source=youtube&utm_medium=social&utm_campaign=bICelhYI55Y
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Hi, Community!

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

Exploring the Benefits of RAG

https://www.youtube.com/embed/NSYVHiJPRas?utm_source=youtube&utm_medium=social&utm_campaign=NSYVHiJPRas
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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

https://www.youtube.com/embed/rIsyOv4he2g?utm_source=youtube&utm_medium=social&utm_campaign=rIsyOv4he2g
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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

https://www.youtube.com/embed/X0_7XHNdd8k?utm_source=youtube&utm_medium=social&utm_campaign=X0_7XHNdd8k
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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.

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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

https://www.youtube.com/embed/nBnm84cNMQo?utm_source=youtube&utm_medium=social&utm_campaign=nBnm84cNMQo
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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.

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Announcement
· Jul 18, 2024
[Video] Generative AI in Use

Hi, Community!

Do you think Generative AI can make your life easier? See some potential use cases for GenAI in the latest video from Learning Services:

Generative AI in Use

https://www.youtube.com/embed/5D8A0PDsV2A?utm_source=youtube&utm_medium=social&utm_campaign=5D8A0PDsV2A
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Hi Community!

How can you create a balanced approach to using Generative AI? Get help from InterSystems experts in the latest video from Learning Services:

Weighing the Benefits and Risks of Generative AI

https://www.youtube.com/embed/VaUS5M0S0hY?utm_source=youtube&utm_medium=social&utm_campaign=VaUS5M0S0hY
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Hi Community,

Watch this video to learn about the PainChek artificial intelligence technology, which assesses patient pain at the hospital bedside, leverages InterSystems IRIS interoperability to connect to third-party electronic medical record systems:

Using Artificial Intelligence / Machine Learning for Pain Assessment in a Clinical Environment @ Global Summit 2023

https://www.youtube.com/embed/-XNQUj7Sx_s
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Announcement
· Jul 5, 2024
[Video] What Is Generative AI?

Hi Community!

Need an introduction to Generative AI? Learning Services is excited to announce the first video in a new series about GenAI basics:

🧐 What Is Generative AI?

https://www.youtube.com/embed/zMfiV0RhrCA?utm_source=youtube&utm_medium=social&utm_campaign=zMfiV0RhrCA
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Looking to get started with generative AI? Try two brand-new learning paths. In Getting Started with Generative AI (2h 45m), learn the basics of interacting with GenAI. Then, try Developing Generative AI Applications (2h) to start developing your own GenAI application. Plus, earn badges for completing each path!

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We have a yummy dataset with recipes written by multiple Reddit users, however most of the information is free text as the title or description of a post. Let's find out how we can very easily load the dataset, extract some features and analyze it using features from OpenAI large language model within Embedded Python and the Langchain framework.

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Continuing with the series of articles on voice file management, we are going to see how we can convert text into audio and receive the file with the chosen voice.
We will also explore how a service from OpenAI can help us analyze a text and determine the mood expressed in it.
Let's analyze how you can create your own voice file and how it can “read” your feelings.

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ChatIRIS Health Coach, a GPT-4 based agent that leverages the Health Belief Model as a psychological framework to craft empathetic replies. This article elaborates on the backend architecture and its components, focusing on how InterSystems IRIS supports the system's functionality.

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In the previous article, we saw in detail about Connectors, that let user upload their file and get it converted into embeddings and store it to IRIS DB. In this article, we'll explore different retrieval options that IRIS AI Studio offers - Semantic Search, Chat, Recommender and Similarity.

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ChatIRIS Health Coach, a GPT-4 based agent that leverages the Health Belief Model (Hochbaum, Rosenstock, & Kegels, 1952) as a psychological framework to craft empathetic replies.

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Article
· May 14, 2024 11m read
Q&A Chatbot with IRIS and langchain

TL;DR

This article introduces using the langchain framework supported by IRIS for implementing a Q&A chatbot, focusing on Retrieval Augmented Generation (RAG). It explores how IRIS Vector Search within langchain-iris facilitates storage, retrieval, and semantic search of data, enabling precise and up-to-date responses to user queries. Through seamless integration and processes like indexing and retrieval/generation, RAG applications powered by IRIS enable the capabilities of GenAI systems for InterSystems developers.

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The introduction of InterSystems' "Vector Search" marks a paradigm shift in data processing. This cutting-edge technology employs an embedding model to transform unstructured data, such as text, into structured vectors, resulting in significantly enhanced search capabilities. Inspired by this breakthrough, we've developed a specialized search engine tailored to companies.

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Hi Community,

Here is a brief walkthrough on the capabilities of IRIS AI Studio platform. It covers one complete flow from loading data into IRIS DB as vector embeddings and retrieving information through 4 different channels (search, chat, recommender and similarity). In the latest release, added docker support for local installation and live version to explore.

https://www.youtube.com/embed/X1gzz3Qs2dw
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Problem

Do you resonate with this - A capability and impact of a technology being truly discovered when it's packaged in a right way to it's audience. Finest example would be, how the Generative AI took off when ChatGPT was put in the public for easy access and not when Transformers/RAG's capabilities were identified. At least a much higher usage came in, when the audience were empowered to explore the possibilities.

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In the previous article, we saw different modules in IRIS AI Studio and how it could help explore GenAI capabilities out of IRIS DB seamlessly, even for a non-technical stakeholder. In this article, we will deep dive into "Connectors" module, the one that enables users to seamlessly load data from local or cloud sources (AWS S3, Airtable, Azure Blob) into IRIS DB as vector embeddings, by also configuring embedding settings like model and dimensions.

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Hey Community,

We have more exciting news! The new InterSystems online programming contest dedicated to Generative AI, Vector Search and Machine Learning is starting very soon!

🏆 InterSystems Vector Search, GenAI and ML Contest 🏆

Duration: April 22 - May 19, 2024

Prize pool: $14,000

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With the advent of Embedded Python, a myriad of use cases are now possible from within IRIS directly using Python libraries for more complex operations. One such operation is the use of natural language processing tools such as textual similarity comparison.

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