The Dark Side of AI: When Innovation Meets Exploitation
Author(s): MD. SHARIF ALAM Originally published on Towards AI. Figure: Even as I write this piece about the ethical use of data and AI, the header image I used comes from the very kind of dataset practices I’m critiquing. This contradiction highlights …
Beyond the Buzz: The Complex Reality of Graph Foundation Models
Author(s): Amin Assareh, PhD Originally published on Towards AI. Image is author-generated with AI tools After a year away from the AI conference circuit — thanks to a major life event — I made my comeback last month with a doubleheader: ICML …
Adoption Is Where AI Projects Live or Die — A Lesson I Keep Learning
Author(s): Padmaja Kulkarni Originally published on Towards AI. When most teams talk about “AI or data risk,” the conversation always drifts toward accuracy, data quality, or scaling infrastructure. Important, sure. But almost never the real reason projects collapse. The truth is more …
On-Device AI Is Finally Real — Build a Copilot+ PC App That Runs 100% Offline
Author(s): Tarun Singh Originally published on Towards AI. On-device AI, explained in plain English — with a full working project you can run today. Github Repo: on-device-npu-rag On-Device AI Is Finally RealThe article discusses the advancements in on-device AI, focusing on building …
Temporal Difference Learning: The Most Powerful RL Solution
Author(s): Rem E Originally published on Towards AI. Mastering the third and most widely used method in reinforcement learning If you’ve been following along, you’re now ready to dive into the third, and most popular, solution method for RL problems: Temporal Difference …
From Prompts to Context: The AI Revolution That’s Changing Everything 🚀
Author(s): MahendraMedapati Originally published on Towards AI. Why Context Engineering is the Secret Sauce That Transforms AI from Clever Chatbot to Reliable Business Partner Picture this: You’re trying to get ChatGPT to help with your company’s customer support. You craft the perfect …
The Great AI Reality Check: How the Bubble Finally Started to Burst 🎈💥
Author(s): MahendraMedapati Originally published on Towards AI. From miracle technology to a corporate money pit in just three months Remember when AI was going to save us all? When every startup pitch deck had “AI-powered” slapped on it like a magic spell? …
From Zero to Hero: Building Your First AI Agent with LangGraph 🤖
Author(s): MahendraMedapati Originally published on Towards AI. Ever wondered what it’s like to have a personal AI assistant that actually thinks and acts on its own? Let me tell you about my journey from complete confusion to building production-ready AI agents. Picture …
Why Most RAG Pipelines Fail (And How to Fix Them)
Author(s): Sai Bhargav Rallapalli Originally published on Towards AI. From chunking to retrieval to evaluation, here’s how to turn RAG from demo to production-ready. Ever built a Retrieval Augmented Generation (RAG) pipeline that shined in demo but crumbled in production? You’re not …
5 ML Mistakes That Scream “Student” (And How to Fix Them) 🚀
Author(s): MahendraMedapati Originally published on Towards AI. From campus to career-ready: Transform your machine learning projects with these industry insights As a student diving deep into machine learning, you’ve probably built some cool projects, aced those assignments, and maybe even topped a …
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