In this tutorial, we demonstrate how we simulate a privacy-preserving fraud detection system using Federated Learning without relying on heavyweight frameworks or complex infrastructure. We build a clean, CPU-friendly setup that mimics ten independent banks, each training a local fraud-detection ...

Alibaba Tongyi Lab have released MAI-UI—a family of foundation GUI agents. It natively integrates MCP tool use, agent user interaction, device–cloud collaboration, and online RL, establishing state-of-the-art results in general GUI grounding and mobile GUI navigation, surpassing Gemini-2.5-Pro, ...

I’m going to say this gently: Collages aren’t that cool anymore. There was once a time (circa 2014) when they were everywhere online, but take a…

As a developer, tell me if you relate to this – Docker commands are easy to understand but difficult to apply meaningfully. Out of the countless tutorials that I followed, most stopped at syntax, leaving me unsure about what to build next. (Here is an exception – A step-by-step Docker tutorial for ...

The core idea behind Chain of Thought (CoT) is to encourage an AI model to reason step by step before producing an answer. While the concept itself is not new and is essentially a structured way of asking models to explain their reasoning, it remains highly relevant today. Interest in CoT increased ...

In this tutorial, we build an advanced, end-to-end multi-agent research workflow using the CAMEL framework. We design a coordinated society of agents, Planner, Researcher, Writer, Critic, and Finalizer, that collaboratively transform a high-level topic into a polished, evidence-grounded research ...

LLMRouter is an open source routing library from the U Lab at the University of Illinois Urbana Champaign that treats model selection as a first class system problem. It sits between applications and a pool of LLMs and chooses a model for each query based on task complexity, quality targets, and ...

We’re in the midst of a global mental-­health crisis. More than a billion people worldwide suffer from a mental-health condition, according to the World Health Organization. The prevalence of anxiety and depression is growing in many demographics, particularly young people, and suicide is claiming ...

In machine learning and data science, evaluating a model is as important as building it. Accuracy is often the first metric people use, but it can be misleading when the data is imbalanced. For this reason, metrics such as precision, recall, and F1 score are widely used. This article focuses on the ...

Influencer marketplaces, collab hubs, brand portals — they go by many names, but serve the same purpose: being a place where creators and brands can work…

More machine learning systems now rely on AI agents, which makes careful safety evaluation essential. With more and more vulnerabilities coming to the fray, it’s nigh impossible for a single unified protocol to stay up to date with them all. This piece introduces MLflow as a practical framework for ...

In this tutorial, we demonstrate how to design a contract-first agentic decision system using PydanticAI, treating structured schemas as non-negotiable governance contracts rather than optional output formats. We show how we define a strict decision model that encodes policy compliance, risk ...