Most beginner AI projects don’t actually understand anything. They scan text, match keywords, and return outputs that look intelligent —…Continue reading on Medium »
“Getting the algorithm right is half the battle, knowing how to tune it, normalize it, and deploy it is what separates research code from production systems.1. Hyperparameter Tuning1.1. Tuning ProcessNot all hyperparameters are equally important. The c…
The world of technology has witnessed numerous paradigm shifts over the decades, but few have been as profound and far-reaching as the rise of Deep Learning. As a subset of Machine Learning, which itself falls under the broader umbrella of Artificial I…
Gradient descent is just the starting point — the real question is how fast and how reliably you can reach a good minimum.The series has 4 parts:Part 1. Practical Aspects Improvements — https://pub.towardsai.net/improving-deep-neural-learning-networks-…
Table of Contents DeepSeek-V3 from Scratch: Mixture of Experts (MoE) The Scaling Challenge in Neural Networks Mixture of Experts (MoE): Mathematical Foundation and Routing Mechanism SwiGLU Activation in DeepSeek-V3: Improving MoE Non-Linearity Shared Expert in DeepSeek-V3: Universal Processing in MoE…
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From foundational Deep Learning training techniques to the algorithms powering modern Agentic AI.As you probably already know, Artificial Intelligence is becoming the new Internet, or the new electricity, as many people are saying. And of course, the f…
You Never Find the Closest Vector. And That’s the Whole Point.Continue reading on Towards AI »