Building Intelligent iOS Apps with Apple’s Foundation Models Framework
The iOS development world has undergone a radical change. Only a few years back, implementing AI functionalities required costly cloud APIs or, at best, on-device processing with limited capabilities. The introduction of Apple’s Foundation Models framework heralds the availability of a 3 billion par...
How UX Research Methods Reveal Hidden AI Orchestration Failures in Enterprise Collaboration Agents
I have spent the last several years watching enterprise collaboration tools get smarter. Join a video call today, and there’s a good chance five or six AI agents are running simultaneously: transcription, speaker identification, captions, summarization, task extraction. On the product side of it, ea...
We live in a world where answers are instant. AI copilots, search engines, short videos, and interactive courses can explain almost anything in minutes. Information is no longer scarce. What is scarce is depth, clarity, and the ability to connect ideas into sound decisions. That is where books still...
GLM-4.7 Flash: The AI Powerhouse Built for Developers
The future of artificial intelligence is here and to the developers, it is in the form of new tools that transform the way we code, create and solve problems. GLM-4.7 Flash, an open-source large language model by Zhipu AI, is the latest big entrant but not simply another version. This model brings g...
10 NotebookLM Super Prompts For Pro-Level Productivity
I have reiterated it time and again. But let me mention it here once more – NotebookLM is one of the most powerful AI tools present today. If you already know of it, the reasons for this statement are obvious to you. In case you are unaware, know that NotebookLM can change the way you […]
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Flux.2 Klein Debuts: Trying The Compact and Fast AI Image Model
I see AI image models getting better every month. Sharper outputs, more parameters, higher benchmark scores. So why would I, or anyone for that matter, get excited about a smaller AI image model? Well, because most image models still behave like offline tools. You prompt, you wait, you hope. There i...
Large language models are great. We all can agree to that. They’ve been a cornerstone of modern industry and are increasingly impacting more and more domains. With constant upgrades and improvements to the architecture and capabilities of language models, one might think – That’s it! Alas… A recent...
How I Created an AI Comic Using Gemini 3 and NotebookLM
Gemini 3 and NotebookLM are two of my favorite tools from the Google suite. I use them often for learning, work, and even for breaking down complex ideas in a simple way. But this time, I wanted to do something purely fun. Lately, I’ve been seeing AI-generated comics all over social media. From stor...
Just as you wouldn’t teach a child to ride a bike on a busy highway, AI agents need controlled environments to learn and improve. The environment shapes how an agent perceives the world, learns from experience, and makes decisions, whether it’s a self-driving car or a chatbot. Understanding these en...
In recent times, if you have been delving into the development of AI, then you may have come across the term ‘agent frameworks.’ Today, we are going to discuss one of them, the Strands Agents. This is a tool that is altering the way developers create intelligent systems. But if you are a beginner, y...
DeepSeek Engram: The Future of Memory-Augmented Language Models
If you are up to date with the recent developments of AI and LLMs, you probably have realized that a major part of the progress is still through building larger models or better computation routing. Well, what if there is one more alternate route? Along came Engram! A revolutionary method of DeepSee...
Data science hiring in 2026 looks nothing like it did three years ago. Earlier, data science roles mostly required you to analyse spreadsheets at length. But come 2026, and now companies are looking for builders of machine learning systems, GenAI pipelines, and production-grade models that have a re...
n8n has set out itself as one of the best low-code AI development platforms. The characteristic drag-and-drop interface of n8n has won the hearts of many coders and non-coders alike. The low entry barrier and high skill ceiling makes it the perfect tool for executing ideas on the go. But there is s...
LLMs like ChatGPT, Claude, and Gemini, are often considered intelligent because they seem to recall past conversations. The model acts as if it got the point, even after you made a follow-up question. This is where LLM memory comes in handy. It allows a chatbot to go back to the point of what “it” o...
If you are searching for free LLM APIs, chances are you already want to build something with AI. A chatbot. A coding assistant. A data analysis workflow. Or a quick prototype without burning money on infrastructure. The good news is that you no longer need paid subscriptions or complex model hosting...
Hackathons are different!. The good ones pull you in, stretch your thinking, and leave you with something real—regardless of the outcome. The problem is choice. It’s hard to find the right one! Too many hackathons. Too many formats. And too much noise. So this list is built with that in mind. Instea...
If you’re curious about trending terms like AI Agents or Agentic AI, you’re in the right place. Agentic AI is rapidly moving from experimentation to enterprise adoption. According to Gartner, over 60% of enterprise AI applications are expected to include agentic components by 2026, while more than 4...
NyRAG: Building Production-Ready RAG Applications with Zero Code
Retrieval-Augmented Generation (RAG) technology almost immediately became the standard in intelligent applications. This was a result of the quickly developing field of artificial intelligence that combined large language models and external knowledge bases with different real-time access methods. R...
The name Google has always been synonymous with technology, and things are no different in the age of AI. Google has quietly been the frontrunner in the AI revolution with a host of products that surprisingly few people know about. Of course, the showstoppers like Gemini and NotebookLM have been pop...
Learning Python at the beginning feels deceptively simple. You write a few lines, the code runs, and it’s tempting to think you’ve got it. Then you try to build something on your own and… nothing works!? Turns out all the information you had learnt, didn’t find an outlet. That’s where challenging p...
DeepSeek mHC: Stabilizing Large Language Model Training
Large AI models are scaling rapidly, with bigger architectures and longer training runs becoming the norm. As models grow, however, a fundamental training stability issue has remained unresolved. DeepSeek mHC directly addresses this problem by rethinking how residual connections behave at scale. Thi...
Power BI is an influential tool, shaping raw data into informative visuals and reports. With a user-friendly interface and formidable functionalities, Power BI is an invaluable platform for individuals to refine their skills through hands-on projects. By engaging in Power BI practice projects, begin...
Liquid Foundation Models (LFM 2) define a new class of small language models designed to deliver strong reasoning and instruction-following capabilities directly on edge devices. Unlike large cloud-centric LLMs, LFM 2 focuses on efficiency, low latency, and memory awareness while still maintaining c...
Google T5Gemma-2 Explained: Trying Out a Laptop-Friendly Multimodal AI Model
Google just dropped T5Gemma-2, and it is a game-changer for someone working with AI models on everyday hardware. Built on the Gemma 3 family, this encoder-decoder powerhouse squeezes multimodal smarts and massive context into tiny packages. Imagine running 270M parameters running smoothly on your la...