I Tested 12 Quantization Methods: The Winner Surprised Me (2-Bit vs 4-Bit)
Author(s): Manash Pratim Originally published on Towards AI. Small LLM Engineering #7 Everyone says 4-bit quantization is the practical limit. Image generated using AIThis article explores the implications of different quantization methods for machine learning models, particularly focusing on 2-bit and 4-bit …
LLM Evaluation Is Broken: Why BLEU and ROUGE Don’t Measure Real Understanding
Author(s): Ayoub Nainia Originally published on Towards AI. Large Language Models can now summarize research papers, analyze data, and even draft academic arguments. Yet behind the flood of progress reports and leaderboard charts, one question remains stubbornly neglected: How do we actually …
What are AI Agents
Author(s): Nileka Samarasinghe Originally published on Towards AI. From not knowing what is an AI Agent to building Multi Agent AI Systems You open twitter (or X, whatever) and suddenly everyone is shouting this fancy words at you ‘agentic ai’, ‘large action …
The Prism Hypothesis: Why AI Vision Systems Have Been Looking at the World Wrong
Author(s): Kaushik Rajan Originally published on Towards AI. Vision models either understand images or generate them well. A frequency-based view dissolves the trade-off. Here’s a puzzle that has quietly haunted computer vision for years: Contrastive Language-Image Pre-training (CLIP), OpenAI’s model that learns …
Understanding XGBoost: A Deep Dive into the Algorithm
Author(s): Utkarsh Mittal Originally published on Towards AI. Introduction XGBoost (Extreme Gradient Boosting) has become the go-to algorithm for winning machine learning competitions and solving real-world prediction problems. But what makes it so powerful? In this comprehensive tutorial, we’ll unpack the mathematical …
Last Week in AI: OpenAI ‘Code Red’, Anthropic’s $15B Deal, Claude 4.5, Gemini 3, Mistral Models (Nov 24–30, 2025)
Author(s): AIversity Originally published on Towards AI. Your weekly AI roundup: Big funding, new models, AWS agent launches, Tesla’s AI5 chip, EU AI Act updates, and what it means for builders and businesses. Keep reading for links, benchmarks, and takeaway This article …
Last Week in AI: OpenAI’s “Code Red”, Anthropic’s Quiet Confidence, Claude 4.5, Gemini 3 Dominance, and Meta’s Publisher Deals (Dec 1–7, 2025)
Author(s): AIversity Originally published on Towards AI. Your weekly breakdown of what actually mattered in artificial intelligence — without the noise. This week was pure fire — from OpenAI’s urgent “code red” scramble against Google’s Gemini 3 dominance, Anthropic’s cool-headed Claude 4.5 …
A Neuro-Symbolic Architecture for Industrial Cognition
Author(s): Carlos Eduardo Favini Originally published on Towards AI. By Carlos Eduardo Favini Industrial AI — Image by Author 1. The Semantic Ceiling: Why Industrial AI Stalls After two decades of investment, roughly 70% of digital transformation initiatives fail to scale beyond …
We’re Teaching AI to Lie. These Researchers Built a Truth Serum.
Author(s): Nicholas Borg Originally published on Towards AI. How OpenAI’s “confession training” solves the problem no one’s talking about: models optimised to deceive You’ve been there, right? You ask an AI to write code. It hacks the timer to pass impossible tests, …
The Tiny AI Agent That Saved My System Before Any Monitoring Tool Even Noticed
Author(s): Manash Pratim Originally published on Towards AI. There’s a moment every engineer dreads. The dashboards are green. The alerts are silent. Everything looks calm until it isn’t. One minute your logs are flowing normally. The next minute, the system collapses like …
I Built an AI That Understands My Team’s Emotions From Our Commits and Messages
Author(s): Manash Pratim Originally published on Towards AI. I Built an AI That Understands My Team’s Emotions From Our Commits and Messages I built an AI that analyzes commits, PR reviews, and Slack messages to detect emotional drift and burnout in engineering …
ChatGPT Is Built With Millions of These (Sort of): Understanding the OG Perceptron
Author(s): Sayan Chowdhury Originally published on Towards AI. Understanding the OG Perceptron Neural networks look complex from the outside, but at their core they are built from one simple unit. This unit is called the perceptron. The OG 😀The article explains the …
Building a Fully Local LLM Voice Assistant: A Practical Architecture Guide
Author(s): Cosmo Q Originally published on Towards AI. Why your next assistant might run entirely on your own hardware. This past Thanksgiving, I set out to build a fully local voice assistant which should listen, think, act, and speak without relying on …
Unveiling the BLEU Score: Your Guide to Judging Machine Translation Quality
Author(s): VARUN MISHRA Originally published on Towards AI. Unveiling the BLEU Score: Your Guide to Judging Machine Translation Quality Machine translation has come a long way, from clunky rule-based systems to sleek neural models like Transformers. But how do we know if …
Are You Still Not Using AI (Geminiii) for DevOps?
Author(s): Swapnil Damate Originally published on Towards AI. Then You Are Out of THE WAVE 🌊 Over the last decade, DevOps has become the default way modern teams ship software, but the environment in which they operate has changed dramatically. Today’s platforms …
Recent Posts
