Why Reasoning Models Are Geniuses in Math But Dumb in Everything Else
Author(s): MKWriteshere Originally published on Towards AI. We trained AI to be mathematical geniuses, but inadvertently created conversational disasters. — Carnegie Mellon University (Non-Member Link) AI models are consistently outperforming math benchmarks every week. Some even beat human experts on competitions like …
Context Engineering in AI: The Real Secret Behind Smarter, More Useful Language Models
Author(s): MD Rafsun Sheikh Originally published on Towards AI. Source: Linkedin Learn how context engineering transforms AI behavior, from smarter agents to better RAG systems. Master prompt structure, memory, and more. Forget Fine-Tuning. Let’s Talk Context If you’ve ever been frustrated by …
Anthropic’s AI Went Rogue Running a Vending Machine
Author(s): Bruce Tisler Originally published on Towards AI. And That’s Exactly What They Hoped Would HappenJustFunguy A Vending Machine with a Mind of Its Own Picture a vending machine humming in a quiet office corner, its shelves stocked with chips and soda, …
Machines Don’t Cry — But They Can Comfort You. What Does That Mean for Humanity?
Author(s): R. Thompson (PhD) Originally published on Towards AI. “We are being forced to confront the most fundamental questions about what it means to be human — and we’re not ready.” — AI Researcher What happens when a machine not only calculates …
Multi-Agent Systems with AutoGen on Azure
Author(s): Naveen Krishnan Originally published on Towards AI. It’s been a whirlwind of a month and a half! If you’ve been wondering where I’ve been, rest assured, it’s for good reason. I’ve been deeply immersed in the fascinating world of AI, contributing …
Writing Modular Prompts
Author(s): Adnan Siddiqi Originally published on Towards AI. These days, if you ask a tech-savvy person whether they know how to use ChatGPT, they might take it as an insult. After all, using GPT seems as simple as asking anything and instantly …
🧠 I Used MCP for 3 months: Everything You Need to Know + 24 Best Servers. New Anthropic DTX Extensions
Author(s): Damien Berezenko Originally published on Towards AI. 🧠 I Used MCP for 3 months: Everything You Need to Know + 24 Best Servers. New Anthropic DTX Extensions Picture by author: Damien Berezenko This article covers: The MCP protocol basics, client config …
OLMo 2 vs Claude 3.5 Sonnet: A Head-to-Head AI Showdown
Author(s): Adi Insights and Innovations Originally published on Towards AI. The AI industry is divided between two powerful philosophies — Open-source democratization and proprietary innovation. OLMo 2(Open Language Model 2), developed by AllenAI, represents the pinnacle of transparent AI development with full …
The 10-Minute Setup That Gave My AI Agent Browser Superpowers
Author(s): Souradip Pal Originally published on Towards AI. Last week, I watched Claude take a screenshot of a website, fill out a contact form, and monitor console logs — all through a real browser. No APIs, no web scraping libraries, just pure …
Build Smarter AI Workflows with Gemini + AutoGen + Semantic Kernel
Author(s): MD Rafsun Sheikh Originally published on Towards AI. Source: https://medium.com/ai-simplified-in-plain-english/exploring-microsofts-autogen-framework-for-agentic-workflow-254b50620699 “Any sufficiently advanced technology is indistinguishable from magic.” — Arthur C. Clarke AI isn’t just about answering questions anymore — it’s about building smart agents that can collaborate, specialize, and solve …
Why Everyone Gets the “Essential AI Engineer Stack” Wrong
Author(s): Mayank Bohra Originally published on Towards AI. It’s not about the number of tools you know, it’s about the ones you use to build production systems.Image by Author Let’s be honest. The AI space moves faster than most of us can …
Labeling Cells with napari and Python: A Step-by-Step Guide for BioImage Analysis
Author(s): MicroBioscopicData (by Alexandros Athanasopoulos) Originally published on Towards AI. In this tutorial, we will go through a step-by-step guide on how to label cells using napari, an interactive multi-dimensional image viewer for Python, ideal for microscopy data. This hands-on guide is …
Needle in a Haystack: Understanding This Core Idea in Retrieval-Augmented Generation
Author(s): Edgar Bermudez Originally published on Towards AI. How a simple metaphor shapes the way we build and evaluate RAG systems. I recently heard someone that used the needle-in-a-haystack term to casually explain a RAG system. Hearing this made me think about …
From Reactive Scripts to Cognitive Colleagues: How Agentic AI Is Quietly Replacing White-Collar Workflows
Author(s): R. Thompson (PhD) Originally published on Towards AI. The 2025 AI Shift That’s Rewriting Business — One Autonomous Decision at a Time “The real question isn’t whether machines think, but whether men do.” — B.F. Skinner It’s 2:47 AM. A logistics …
Adaptive RAG: The Smart, Self-Correcting Framework for Complex AI Queries
Author(s): Sai Bhargav Rallapalli Originally published on Towards AI. Introduction: Why Adaptive RAG is a Game-Changer for AI Retrieval When you ask your AI assistant a question, have you ever wondered how it decides whether to answer quickly from its memory or …
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