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How to deeply understand neural networks by building a functional autograd engine and manually calculating backpropagation using the…Continue reading on ITNEXT »
Imagine you’re standing on a mountain in complete darkness.Continue reading on Medium »
This is how top developers are learning AI differently in 2026Continue reading on Medium »
With the advent of deep learning, the world has changed. Deep learning is gaining popularity because it's powerful and so easy to use that anyone can use it. It has led to an explo...
A technical introduction to supervised learning, loss functions, gradient descent, SGD, and the mathematics behind model trainingContinue reading on Medium »
NumPy and PyTorch Skills Every LLM Interview TestsContinue reading on Models to Systems »
A beginner-friendly guide to LeNet-5, convolutional layers, subsampling, and the architecture that helped shape modern computer vision.Continue reading on Medium »
A small, strange discovery in machine learning called grokking The post The AI That Learned to Understand Long After It Stopped Trying appeared first on Towards Data Science.
An AI agent makes a decision.Continue reading on Medium »
Part of the “35 AI Concepts Every Data & AI Professional Should Know” series — Decoding Data ScienceContinue reading on Medium »
Softmax, Log-Softmax, and Cross-Entropy from ScratchContinue reading on Models to Systems »
Want to understand what makes LLMs fast? Build the systems yourself.
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Understanding the Building Block of Every AI ModelContinue reading on Medium »
Welcome to Day 5 of 60. We spent the first four days building the mathematical engine of neural networks. Now, we face a fundamental data…Continue reading on Medium »
Let’s say you have some handwritten digits and you decided to build an NN “Neural Network” and train it to recognize these digits, that’s…Continue reading on Medium »
Part 6 of this series covered RLHF as a mechanism — SFT, a Bradley-Terry reward model, PPO fine-tuning with a KL penalty. This is the…Continue reading on Medium »
TL;DR: Autonomous AI relies on more than an LLM. VillainNet shows how attackers could poison a rarely activated subnetwork inside an adaptive SuperNet, hide malicious behavior duri...
1. A New Way of Learning For a long time, learning something new meant finding a good book or course and following the path designed by someone else—from the fundamentals to the a...
IntroductionContinue reading on Medium »
Learn how DSpark speculative decoding can improve local LLM generation speed using the same GPU, with Qwen3-8B, llama.cpp, and CUDA.
Learn how DSpark speculative decoding can improve local LLM generation speed using the same GPU, with Qwen3-8B, llama.cpp, and CUDA.
By Brian Murimi Sigei AI & Data Science | Software Development | MSc in Informatics (AI & Data Science)Continue reading on Medium »
On 28 September Unsloth began serving Laya, an open decision model, at a Jev-compatible endpoint on a CPU. On 7 October it shipped…Continue reading on Medium »
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