With all the breakthroughs happening in image processing by releases such as Nano Banana, Qwen image and SAM3, OpenAI which was at the frontier of the domain a few years back, has been relatively quiet—especially in terms of its releases. With pedestrian releases and lackluster offerings, most peopl...
10 Most Downloaded Hugging Face Datasets and Their Use-cases
If you have ever trained a model, fine-tuned an LLM, or even experimented with AI on a weekend, chances are you have landed on Hugging Face. It has quietly become the GitHub of datasets – a place where developers, researchers, and data professionals go to build models and accelerate ideas. From code...
Meet LangSmith Assistant – Polly [An Agent for Agents]
Let’s be honest! Building AI agents is exciting but debugging them, not so much. As we are pushing the boundaries of agentic AI the complexity of our system is skyrocketing. We have all been there staring at a trace with hundreds of steps, trying to figure out why agent hallucinated or chose the wro...
8 Things To Do With Microsoft’s MarkItDown Library
Most AI projects start with one annoying chore: cleaning messy files. PDFs, Word docs, PPTs, images, audio, and spreadsheets all need to be converted into clean text before they become useful. Microsoft’s MarkItDown finally fixes this problem. In this guide, I will show you how to install it, conver...
Building AI Agents: Insights from the First Three Days of Kaggle’s Intensive Program
I’ve spent plenty of time building agentic systems. Our platform, Mentornaut, already runs on a multi-agent setup with vector stores, knowledge graphs, and user-memory features, so I thought I had the basics down. Out of curiosity, I checked out the whitepapers from Kaggle’s Agents Intensive, and th...