ai, deepseek, machinelearning
title: The Rise of China's LLMs: A Complete History from 2017 to 2026 published: ture description: From Wu Dao 2.0 (1.75T params) to DeepSeek V3 ($5.6…
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Time When More Layers Meant Worse Model ... Birth Of Residual
class TinyTransformer(nn.Module): def __init__(self): super().__init__() # setting the constructor for the initial values that we are every gonna need…
The Machine Learning Engineering Series
Part 1: From Scratch to Systems . This machine learning series will be a real ride. It’s an interactive journey where I’ll be sharing and raising lots…
VLA or IL? A Controlled Dataset for Testing Whether Finetuning Turns Your VLA into a Fancy Imitation Learner
Motivation Robot manipulation is the ability of a robot to interact with and manipulate objects in the physical world, such as grasping objects, movin…
The Math Behind Neural Networks — Explained Like Nobody Did for Me 🧨
How does a neural network actually learn to be less wrong? Not the hand-wavy version. The real one. The one with the derivative, the chain rule, and t…
AlphaEvolve: Google DeepMind's Gemini-Powered Evolutionary Coding Agent
Inside AlphaEvolve: How Neural Networks and Evolutionary Algorithms Are Self-Optimizing Software For several years, the role of Artificial Intelligenc…
Handling Non-Stationary Time Series: Building a Probabilistic Engine with XGBoost & Python
If you have ever tried to apply Machine Learning to financial time series, you know the heartbreak of the "perfect backtest." You build a model, train…
SANA-WM in 5 quick facts
SANA-WM is worth watching for one reason: it combines longer video generation with explicit camera control. Five quick facts: It is an open-source 2.6…
When Chaos Wins: Adding Noise Improved My Snake AI's Stability
Greetings all! Continuing the series where I build Rainbow DQN one component at a time on Snake. The first post covered encoding, the second covered m…
Chain-of-Thought and Beyond: How LLMs Actually Learn to Reason
"The ability to reason step-by-step is not just a feature. It might be the difference between a language model that sounds intelligent and one that ac…
XGBoost: When Gradient Boosting Meets Regularization
1. The Problem It Solves Imagine you’re a loan officer at a bank. You have thousands of past loan applications with features like income, credit score…
How I Built a Free Voice AI Pipeline Using Whisper, LLaMA 3.1 & Groq
I recently built VoiceIQ — a complete Voice AI pipeline that listens to your voice, thinks using an LLM, and speaks the answer back. The best part? It…
Why does paying more make your LLM reply faster?
Why does Claude respond faster when you pay more? And why does a longer conversation cost disproportionately more than a short one? For the longest ti…
Stop Guessing Which Weights Your Neural Network Actually Learned: Deterministic Initialization That Tracks Every Change
The Problem Nobody Talks About You've spent hours training your neural network. The loss converged, metrics look good, and you're ready to deploy. But…
Generation 1 — Standalone Models (2018–2022)
The Foundation of Modern AI Systems When people think of tools like ChatGPT, they often assume the intelligence comes from a single powerful system th…
The Paper That Taught Neural Networks to Learn Backwards
Last week I read the 1958 Rosenblatt paper. The one that started everything. The Perceptron, the first learning machine, the idea that memory lives in…
How Deep Learning Architectures Evolved — From DNNs to Transformers
Deep learning architectures are not random model names. DNN, CNN, RNN, and Transformer each appeared because data has different structure. Images need…
Removing PER From Rainbow DQN Set a New Snake AI World Record
Greetings all! Quick context: this is part of an ongoing series where I'm building Rainbow DQN one component at a time on Snake and measuring what eac…
🔬 AI for Scientific Discovery in the Real World: What Gemma 4 Changes The Moment AI Leaves the Chat Window
This is a submission for the Gemma 4 Challenge: Write About Gemma 4 🔬 AI for Scientific Discovery in the Real World: What Gemma 4 Changes The Moment A…
What Deep Learning Really Means — From Neural Networks to Modern AI
Deep learning is not just “a neural network with more layers.” That explanation is too small. The real idea is this: Deep learning lets models learn u…
How CNNs Work — From Convolution Kernels to ResNet
CNNs changed computer vision because they stopped treating images like flat lists of numbers. An image has structure. Pixels near each other usually m…
Did My LoRA Learn Tenacious Style—or Just Memorize Augmented Patterns?
In Week 11 Tenacious-Bench, we trained a LoRA adapter on Tenacious-style B2B sales emails using Supervised Fine-Tuning (SFT). We got a real performanc…
🐍 The "Production-Ready" Miniconda Cheatsheet: From Homebrew to JupyterLab
As I started my journey into AI and Data Science, I quickly realized that managing Python environments can be a total headache. Between broken depende…
🌿 Plant Disease Detection System
Agriculture is the backbone of many economies, yet plant diseases continue to cause massive crop losses every year. What if farmers could detect disea…
A11 and AGI: A Structural Approach for Models
1. What AGI Actually Requires (A Structural Definition) In open discussions, “AGI” is often described as: a very large model, a universal problem solv…