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MULTIPITA: Reorganizing Compute Without Compressing Identity

How NINMENI approaches the computational cost of native character-identity modeling Large language models usually make an implicit compromise: text…

Entropy and Cross-Entropy, Explained

If you've spent any time around machine learning the familiarizing yourself with the concept, you have seen the term "entropy" and "cross entropy" s…

DeepSeek's Vision Lineage: From DeepSeek-VL to Vision-Exp

By zipflow.xyz This is an independent technical analysis of DeepSeek's public research and documentation. It is not an official DeepSeek statement,…

The AI Revolution Isn’t Coming — It’s Already Here. Are You Ready to Build With It?

Artificial Intelligence isn't something developers are waiting for anymore. It's already changing how we write code, analyze data, search informatio…

QUASAR: How Saliency-Weighted Reconstruction Closes the Loss Floor Gap in LLM Quantization-Aware Training

QUASAR: How Saliency-Weighted Reconstruction Closes the Loss Floor Gap in LLM Quantization-Aware Training Quantization is one of the most practical…

From Neural Networks to LLMs: The Mental Model I Was Missing

Before jumping into APIs, RAG, agents, and AI applications, I wanted to understand what actually happens inside an LLM. I kept coming across terms l…

Transformer Architecture Basics

Unlocking the Magic: A Deep Dive into Transformer Architecture Basics Ever felt like the world's information is a giant, jumbled puzzle, and you're…

Mastering Low-Precision AI: FP8 and FP4 Support Across Frameworks in Mid-2026

In mid-2026, FP8 and FP4 have become essential tools for making large-scale AI training and inference more efficient . FP8 uses two main formats-E4M…

GPT-5.6-Cyber: Daybreak Red, Exclusive Access Security

The Lock and Key: My First Brush with Daybreak Red's Gatekeepers The login screen was a study in minimalism. White space, a single text field, and t…

How Two-Stage Object Detectors Went From 47 Seconds to Real-Time-Adjacent

Object detection has two broad architectural families: one-stage detectors that predict boxes and classes directly in a single pass, and two-stage d…

How to Count Parameters in Artificial Neural Networks (ANNs)

When building neural networks, one of the first questions you should ask is: How many trainable parameters does my model have? The number of paramet…

Decoupling Physical Control and Reasoning: DeepMind's Gemini Robotics 2 Architecture

Why Decouple Reasoning from Motor Control General-purpose robots have to pull off two very different jobs at once. They need to read a cluttered, fu…

CoMem Explained — From Paper to Working Code in 10 Minutes

You've hit the wall: your long-context LLM pipeline eats 89 GB of VRAM for 128k tokens, your RAG system loses the thread of a long document, and eve…

PyTorch `permute` vs `transpose`: What's the Difference (and the `reshape` Bug That Scrambles Your Images)

You loaded an image, got a tensor shaped (batch, height, width, channels) , and your convolution wants (batch, channels, height, width) . Stack Over…

First Commit of Machine Learning

Hey everyone! This side Lucky Jha, a final year engineering student, so like everyone does I also started writing blogs for some reason and almost e…

I Implemented the Algorithm Behind ChatGPT From Scratch - Day 8 (PPO).

SERIES: Learning RL and JAX in Public - from zero to DeepMind :) When people ask "how was ChatGPT trained?", the answer usually involves RLHF - Rein…

From Learning Machine Learning to Competing on Kaggle: My First End-to-End Playground Competition Journey

How I applied Exploratory Data Analysis, Feature Engineering, Pipelines, and Ensemble Models to solve a real-world machine learning problem—and the…

The Evolution of AI, Explained in Stages

AI feels like it "suddenly" got smart in the last few years. It didn't. It's been evolving in distinct stages for over 70 years — each one building…

I Replaced a Q-Table With a Neural Network and Everything Changed - Day 5 (DQN).

SERIES: Learning RL and JAX in Public - from zero to DeepMind :) Day 4 ended with a working Q-learning agent. A table of numbers that an agent used…

I Finally Understood Why Neural Networks Need Activation Functions

Today I Finally Understood Why We Plot the Derivative of Activation Functions When I started learning Deep Learning, I thought activation functions…

What Is PEFT? A Guide to Parameter-Efficient Fine-Tuning

A technical guide comparing LoRA, QLoRA, rsLoRA, AdaLoRA, DoRA, IA³, prompt tuning, and adapter deployment workflows. DEHA Research · July 16, 2026…

What Does `unsqueeze` Do in PyTorch? (And Why Your Model Keeps Asking For It)

You passed a single image to your model and got ValueError: expected 4D input (got 3D input) . Someone on Stack Overflow said "just add .unsqueeze(0…

PyGo: A Deep Learning Framework Where Go Calls Python Calls C++

[Project] PyGo – embedding CPython inside a Go process to build a deep learning framework I've been working on something a bit unusual: a deep learn…

Attention Sinks: Why Streaming LLMs Break When You Evict Token 0

Drop the first four tokens from a sliding-window KV cache and your model's perplexity doesn't degrade gracefully — it detonates. Generation turns to…

Bayesian Neural Networks

Adapted from an appendix of my MS thesis. Bayesian Neural Network Deep neural networks (DNNs) are usually trained using a regularized maximum likeli…

Financial Market Analysis (Double-Tower Transformer)

Content Intro - What is it? Briefly A predictive machine learning system explicitly designed to generate profitable trading signals from high-freque…

Transformers From Scratch In Code

map: 1) hyperparams block 2) data block loss tracking function 3) Single Attention Head Class (head_size) at first B, T, C = shape 4) head_size = n_…

Is anyone working with the YOLO model?

GNN vs. Trees: High-Speed Hybrid Architecture for XLA Runtime Prediction

GNN vs. Trees: High-Speed Hybrid Architecture for XLA Runtime Prediction Introduction A common trap in Machine Learning engineering is deploying ove…

One "+x" That Made 100-Layer Networks Trainable: ResNet Skip Connections

Deep networks have a cruel paradox. In theory, more layers should never hurt — the extra ones could just learn to pass their input through unchanged…