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.
We have more exciting news! The new InterSystems online programming contest dedicated to Generative AI, Vector Search and Machine Learning is starting very soon!
Our judges mentioned that it was a very tough challenge to choose only three articles each because more deserved points. Despite it all, they persevered and now it's time to announce the winners!
Let's meet the winners and look at their articles:
Artificial Intelligence (AI) is getting a lot of attention lately because it can change many areas of our lives. Better computer power and more data have helped AI do amazing things, like improving medical tests and making self-driving cars. AI can also help businesses make better decisions and work more efficiently, which is why it's becoming more popular and widely used. How can one integrate the OpenAI API calls into an existing IRIS Interoperability application?
SQLTools is a Visual Studio Code (VS Code) Extension with over 3.5 million downloads that provides connections to many of the most used databases, including InterSystems IRIS, using drivers.
Write an article that can be considered a tutorial for InterSystems IRIS programmers of any level: beginner / middle / senior from February 19th to March 17th.We've extended the submission deadline till the 24th of March!
🎁 Prizes for everyone: A special prize for each author participating in the competition!
InterSystems Innovation Acceleration Team invites you to take part in the GenAI Crowdsourcing Mini-Contest.
GenAI is a powerful and complex technology. Today, we invite you to become an innovator and think big about the problems it might help solve in the future.
A few months ago, I faced a significant challenge: streamlining the handling of business logic in our application. My goal was to extract the business logic from the code and hand it over to analysts. Dealing with a multitude of rules could easily result in a code littered with countless "if" statements, especially if the coder lacked an understanding of cyclomatic complexity. Such code becomes a source of pain for those working with it—difficult to write, test, and develop.
There are situations when your only access to a server is using a web browser, and there is just no chance of a Terminal or Console access. The Online Demo Server is such a case.
So you have WebTerminal. That's fine for ObjectScript and Embedded Python.
Hi Community, In this article, I will demonstrate below steps to create your own chatbot by using spaCy (spaCy is an open-source software library for advanced natural language processing, written in the programming languages Python and Cython):
Step1: Install required libraries
Step2: Create patterns and responses file
Step3: Train the Model
Step4: Create ChatBot Application based on the trained model
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