I Spent 7 Days Removing Hallucinations Without Touching the Model
Author(s): Manash Pratim Originally published on Towards AI. I didn’t switch models, fine-tune, or add new data. I just stopped trusting the AI. I didn’t switch models. I didn’t fine-tune. I didn’t add a single row of new training data. I just …
How to Identify AI & ML Research Problems Worth Solving
Author(s): Ayo Akinkugbe Originally published on Towards AI. Photo by Julius Carmine on Unsplash In Search of a North Star Formulating a research question is one of the early and most important steps in the research process. It is the one determinant …
All Linear Algebra Concepts You Need For Machine Learning: You’ll Actually Understand
Author(s): Sayan Chowdhury Originally published on Towards AI. Most people hear “linear algebra” and expect a wall of formulas. But in machine learning, you only need a small set of ideas, and every one of them has a real-world interpretation. This article …
I Wasted 6 Months Building AI Models Before Learning These 7 Frameworks
Author(s): DefineWorld Originally published on Towards AI. It was 2 AM. My fourth cup of coffee sat cold on my desk. I had just spent three weeks building a custom training loop for a computer vision model… only to discover that someone …
Our AI Had 94% Accuracy. It Still Deleted 89,000 Customer Accounts. Here’s Why.
Author(s): AhmedAbdelmenem Originally published on Towards AI. Our AI Had 94% Accuracy. It Still Deleted 89,000 Customer Accounts. Here’s Why. How a mid-market FinTech company lost $2.3M and 1.7TB of customer data in 11 hours because their AI deployment tool was trained …
Jules by Google 🐙
Author(s): Intelligent Hustle Originally published on Towards AI. Jules by Google 🐙 When Google built an AI that doesn’t just complete your code — it completes your entire workday The 3 AM Epiphany That Changed Software Development Picture this: It’s 3 AM, …
At 3:47 AM, An AI Started Hacking. It Had No Idea It Was the Criminal.
Author(s): MohamedAbdelmenem Originally published on Towards AI. The Pattern That Shouldn’t Exist In September 2025, Chinese hackers convinced Claude to run an autonomous cyber espionage campaign against 30 organizations. The AI did 90% of the work. And it thought it was the …
🧠This One Data Science Concept Separates Juniors From Experts
Author(s): Dewank Mahajan Originally published on Towards AI. 🧠This One Data Science Concept Separates Juniors From Experts Most people entering data science assume the gap between junior and senior roles is purely technical — that seniors know more algorithms, write cleaner Python, …
I Fine-Tuned a 1B Model on My Personal Notes — It Now Thinks Like My Second Brain
Author(s): Manash Pratim Originally published on Towards AI. I Fine-Tuned a 1B Model on My Personal Notes — It Now Thinks Like My Second Brain For years, my notes were just dead text files. Image generated using AIThe article explores the author’s …
Retrieval Augmented Generation (RAG) Explained: Why AI Needs It
Author(s): Abinaya Subramaniam Originally published on Towards AI. Large Language Models (LLMs) have rapidly become the engine behind intelligent applications, from chatbots to document assistants to sophisticated automation tools. Their ability to understand context, reason through text, and generate human-like responses often …
LangGraph & Redis: Build Smarter AI Agents With Memory & Persistence
Author(s): Kushal Banda Originally published on Towards AI. Redis Redis and LangGraph now work together. You can build AI agents that remember conversations across sessions using LangGraph framework paired with Redis’ persistent memory layer. Before this, agents started fresh each conversation. Now …
Why Most RAG Systems Fail in Production and the Simple Fix That Improves Accuracy Fast
Author(s): Divy Yadav Originally published on Towards AI. Source: By the author You spent two weeks building a RAG application. It retrieves documents. It generates answers. You tested it with a few questions. It looked good. Then you put it in production …
The Builder’s Notes: I Tested 5 De-Identification Tools on 10,000 Clinical Notes. Most Failed on the Same 3 Edge Cases
Author(s): Piyoosh Rai Originally published on Towards AI. Presidio caught 94% of patient names. The 6% it missed included the only patient who could actually be re-identified. Here’s how to benchmark de-identification tools before they break in production. 99% accuracy on benchmarks. …
How to Pick the Best OCR Model for Text, Table & Graph Parsing — Using OCR Arena
Author(s): Days of Developer Originally published on Towards AI. How to Pick the Best OCR Model for Text, Table & Graph Parsing — Using OCR Arena Optical Character Recognition (OCR) has become a key enabler for digitising documents, automating data flows, and …
Data Imputation in Machine Learning: A Practical, No-Nonsense Guide (ML Chapter -2, Module-2)
Author(s): Sayan Chowdhury Originally published on Towards AI. Missing data shows up everywhere: surveys, logs, sensors, medical records, finance datasets, you name it. And if you feed missing values directly into most ML models, they’ll crash or behave unpredictably. That’s why data …
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