Reference: Term 2 – DSDM | IITGNX Here’s a concise list of types of time series, each with a short explanation and example: 1. Univariate Time Series Explanation: Tracks a single variable over time. Example: Daily temperature readings in a city. 2. Multivariate Time Series Explanation: Tracks multiple variables over time, often with interdependencies. Example:…… Continue reading Time series modelling – Part 1 as per ChatGPT and Gemini
Month: November 2024
How can portals & commerce have intelligence via LLMs/GAI/ChatGPT/Gemini/etc. – Part 1
Here is my solution template for having intelligence from AI/GAI/LLMs in Portals & Commerce – Part 1: Assumptions: Java/PHP/Dot Net/SharePoint/Liferay/WordPress/Drupal type of a portal and / or commerce Just like we have HTML – HEAD / BODY / FOOTER / HEADER / META TAGS / BACKEND LOGIC in Java / Front end JSP / etc.…… Continue reading How can portals & commerce have intelligence via LLMs/GAI/ChatGPT/Gemini/etc. – Part 1
Web portal & commerce cyber forensics
For this discussion, we will refer the top open-source products like Liferay, Drupal, WordPress, etc. and one proprietary portal like SharePoint which has good documentation. Home – Liferay WordPress.com: Build a Site, Sell Your Stuff, Start a Blog & More Drupal – Open Source CMS | Drupal.org Microsoft SharePoint Online – Collaboration Software | Microsoft…… Continue reading Web portal & commerce cyber forensics
Possibilities for AI powered features in Liferay – Part 1 via ChatGPT & Gemini
A good list on possibilities for AI powered features in Liferay – Part 1 from GAI/LLMs. Sharing here for everyone’s benefit. Came across during talking to ChatGPT and Gemini, very good ideas – some are inbuilt, some need customizations. Possibilities are endless. ******************************** Liferay, a digital experience platform (DXP), integrates various AI-related features to enhance…… Continue reading Possibilities for AI powered features in Liferay – Part 1 via ChatGPT & Gemini
Performance Tuning in Liferay – Part 4
In addition to 3-part series on performance tuning given here below are additional points to explore for performance tuning in Liferay. Java 17/21 Network and subnet between Application server, Web server, Elastic search, Database Difference between JMeter and JVM/Glowroot load times for pages Lighthouse reports Elastic search response times and tuning Fragment caching Logging levels…… Continue reading Performance Tuning in Liferay – Part 4