Why Machine Learning Is Not Made for Causal Estimation
Predictive vs. causal inference: a critical distinction In the era of AI/ML, Machine Learning is often used as a hammer to solve every problem. While ML is profoundly useful and…
Predictive vs. causal inference: a critical distinction In the era of AI/ML, Machine Learning is often used as a hammer to solve every problem. While ML is profoundly useful and…
Introduction Cloud technology is the invisible powerhouse behind many conveniences we enjoy today, from streaming our favorite shows to backing up photos and collaborating with colleagues remotely. It has transformed…
AI hallucinations are a strange and sometimes worrying phenomenon. They happen when an AI, like ChatGPT, generates responses that sound real but are actually wrong or misleading. This issue is…
Dive into Neural Networks, the backbone of modern AI, understand its mathematics, implement it from scratch, and explore its applications Neural networks are at the core of artificial intelligence (AI),…
Actually lately, I’ve been following AI model releases for a while and let me tell you — few have been as highly anticipated as Claude 3.7 and earlier Grok3 and…
As artificial intelligence (AI) revolutionizes industries and drives technological advancement, it brings significant environmental challenges alongside its opportunities. The immense computational power is required for training and deploying advanced AI…
CEOs have spent a decade predicting the end of hand-written businesses software. Are they finally right? It’s a poorly kept secret that business developers are often paid to solve the…
A deep dive into the novel Chain-of-Draft (CoD) Prompting that outperforms Chain-of-Thought (CoT) Prompting while reducing LLM inference cost and latency like never before. Reasoning LLMs are a hot topic…
In today’s data-driven world, cloud platforms have become essential tools for managing and analyzing vast amounts of information. Here’s why diving into cloud technologies is a game-changer for data engineers:…