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DBMS Data Models Explained: Types, Abstraction Levels, and SQL Examples  

ai, AI (Artificial Intelligence), Artificial Intelligence, Beginner, Database

Modern applications rely on structured storage systems that can scale, stay reliable, and keep data consistent. At the heart of all of it sits the data model. It defines how information is organized, stored, and retrieved. Get the model wrong and performance suffers, integrity breaks down, and future changes become painful. Get it right and […]

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Top 10 Made-in-India AI Products Shown at AI Impact Expo 2026

ai, AI (Artificial Intelligence), Artificial Intelligence, Beginner, Listicle

When it comes to new-age technology, India has historically been at the forefront of several eras seen by human civilisation. Following suit, the nation is now stepping up in the age of Artificial Intelligence. A big proof is the ongoing AI Impact Expo 2026 in Delhi. The event has delegates and companies from over 27

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Top 10 Generative AI Books You Must Read in 2026

ai, AI (Artificial Intelligence), Artificial Intelligence, Beginner, Books, Career, GenAI books, Generative AI, Listicle, resources

Two years ago, AI could autocomplete your sentence. Today, it writes production code, drafts legal contracts, generates photorealistic images, builds entire apps, and debates philosophy. Generative AI is not just another tech trend. It is a platform shift. The internet changed how we access information. Mobile changed how we interact with it. GenAI is changing

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Meet PaperBanana: Google’s AI That Auto-Generates Research Diagrams

ai, AI (Artificial Intelligence), Artificial Intelligence, Beginner, Generative AI, Research Paper

Researchers today can draft entire papers with AI assistance, run experiments faster than ever, and summarise literature in minutes. Yet one stubborn bottleneck remains: creating clear, publication-ready diagrams. Poor diagrams look unprofessional and can obscure ideas and weaken a paper’s impact. Google now seems to have a solution to this – and it is called

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Top 10 No-Code Development Platforms to Launch Apps and Automate Work

ai, AI (Artificial Intelligence), Artificial Intelligence, Beginner, GenAI Tools, Listicle

No-code platforms are quietly changing who gets to build software. You no longer need to be an engineer to create apps, automate workflows, or launch products. The barrier isn’t technical skill anymore. It’s knowing where to start. This article brings together some of the best no-code platforms available today. Each serving a different kind of

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We Tested The New Qwen3.5 Open Weight, Qwen3.5-Plus AI Models in Real Hands-on Tests

ai, AI (Artificial Intelligence), Artificial Intelligence, Beginner, GenAI Tools, Generative AI

Alibaba’s Qwen lineup has evolved rapidly over the past few weeks. We recently saw Qwen3-Coder-Next targeting developers with an AI coding assistant. This was followed by Qwen Image 2.0, which pushed the platform’s image generation quality even further. Each release strengthened a specific capability within the ecosystem. Now, building on that evolution, comes the Qwen

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PyCaret Tutorial: Beginner’s Guide to Automating ML Workflows

ai, AI (Artificial Intelligence), Artificial Intelligence, Beginner, Guide, Machine Learning

PyCaret is an open-source, low-code machine learning library that simplifies and standardizes the end-to-end machine learning workflow. Instead of acting as a single AutoML algorithm, PyCaret functions as an experiment framework that wraps many popular machine learning libraries under a consistent and highly productive API  This design choice matters. PyCaret does not fully automate decision-making

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I Built an AI Agent that Predicts Match Winners in the ICC Men’s T20 World Cup 2026

ai, AI (Artificial Intelligence), AI Agents, Artificial Intelligence, Beginner

The T20 World Cup 2026 brings exciting matches, and fans constantly wonder which team will win. An AI agent answers this by analyzing live data and patterns instead of relying on intuition. Users enter a match date, and the system gathers all scheduled games and relevant context for that day. Built with CrewAI and OpenAI’s

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Claude Agents Just Built a Fully Functioning C Compiler With Zero Human Input

ai, AI (Artificial Intelligence), AI Agents, Artificial Intelligence, Beginner

Sixteen autonomous AI agents. Two weeks of continuous execution. Nearly 100,000 lines of Rust code. That’s what it took for Anthropic to build a working C compiler capable of compiling large real-world projects like the Linux kernel. There is, however, a kicker here. The project, internally referred to as the Claude “agent teams,” wasn’t written

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