Your Model Has 95% Accuracy. It’s Completely Useless.
Author(s): Rohan Mistry Originally published on Towards AI. You Built a Model That Predicts Everything as “No.” It Has 95% Accuracy. You Just Shipped Garbage. Your boss: “How’s the fraud detection model?”You: “95% accuracy! Ready to deploy!”Your boss: “Great! Ship it.” Source: …
Data Leakage: Your 99% Accuracy Model is a Lie
Author(s): Rohan Mistry Originally published on Towards AI. Training Accuracy: 99%. Production Accuracy: 53%. Welcome to Data Leakage Hell. You spent 3 months building the perfect model. Source: Image by author.The article discusses the challenges of data leakage in machine learning, where …
The Architect’s Guide to Deep Research Agents: A Comparative Analysis of Google ADK, Microsoft AG2, and LangGraph
Author(s): Jasleen Originally published on Towards AI. The New Frontier of Automated Inquiry: An Introduction to Deep Research Frameworks The landscape of artificial intelligence is undergoing a significant transformation, moving beyond the era of single-turn, reactive models into a new domain of …
Debugging Spark at Scale: Slow to Shipped
Author(s): Diogo Santos Originally published on Towards AI. A stepwise playbook to locate the true bottleneck — I/O, shuffle, Python, or memory — and fix it with minimal changes and hard measurements. If you’re here, you’ve got a Spark job that should …
Humans vs Machines: Who Wins Tomorrow?
Author(s): Arav Jain Originally published on Towards AI. Will AI really steal your job? “A computer would deserve to be called intelligent if it could deceive a human into believing that it was human” — Alan Turing, father of theoretical computer science …
Unlocking the True Power of Agentic AI with Semantic Layers
Author(s): Kyle knudson Originally published on Towards AI. Agentic AI, the new wave of autonomous, reasoning-driven artificial intelligence systems, represents a major leap in how we interact with data and automation. These systems don’t just follow commands; they analyze, plan, and adapt …
LAI #96: From Building LLMs by Hand to Smarter Agent Patterns
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! AI isn’t just about bigger models; it’s about building smarter, more trustworthy systems. This week, we start with the fundamentals: a step-by-step guide to creating an LLM from …
The ML Algorithm Selector: When to Use Which Machine Learning Algorithm
Author(s): Rohan Mistry Originally published on Towards AI. You Know How Every Algorithm Works. But You Have No Idea Which One to Actually Use. You aced your ML course. You know Random Forest, XGBoost, SVM, Neural Networks. Source: Image by Author.This article …
LLMs Don’t Think. They Just Get Lucky.
Author(s): Devrim Ozcay Originally published on Towards AI. LLMs Don’t Think. They Just Get Lucky. I spent six months feeding GPT-4 the same prompt 10,000 times and got 10,000 different answers. Not slightly different. Completely different. Same temperature. Same parameters. Same everything. …
Generative AI: A Beginner's Viewpoint
Author(s): Rashmi Originally published on Towards AI. The GenAI Buzz: What It’s Like to Start Working in This Field Generative AI (GenAI) is a branch of AI that creates new content — text, code, images, audio, and video — by learning patterns …
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