AI Study Notes Concept guides, resources, and LLM API how-tos
Understanding Embedding
From one-hot encoding to distributed representations — Word2Vec, GloVe, BERT, and CLIP.
Understanding CNNs and ResNet
Convolution, pooling, residual shortcuts, degradation, and how vision models relate to Transformers.
Understanding Transformer
Scaled dot-product attention, multi-head attention, encoder–decoder structure, and complexity trade-offs.
Understanding LSTM Networks
From RNN long-term dependency limits to gating mechanisms and cell state, step by step.
Free LLM APIs & HackChance
OpenRouter and NVIDIA NIM free tiers, and how HackChance picks models across both platforms.
OpenRouter API Key Guide
Sign up, create an API key, and use OpenRouter as a unified gateway to many model providers.
NVIDIA NIM API Key Guide
Log in to NVIDIA Build, open API Keys, and generate credentials for NIM inference endpoints.
Physics Study Notes Based on The Feynman Lectures on Physics
Chapter 1: Atoms in Motion
The atomic hypothesis — how atoms compose matter and motion at the microscopic scale.
Chapter 2: Basic Physics
Classical physics, the quantum revolution, and frontiers in particle physics.
Chapter 4: Conservation of Energy
Energy transforms but total energy is conserved — kinetic, potential, heat, elasticity, and E=mc².
Programming Tutorials For experienced developers
TypeScript Quick Tutorial
Types, async programming, IO/network/database, and tooling — 8 chapters.
PHP Quick Tutorial
Web backends, PDO, networking, files, and Composer — 7 chapters.
Next.js Quick Tutorial
App Router, SSR/SSG, API Routes, and full-stack patterns — 8 chapters.
Python Quick Tutorial
venv, syntax & OOP, SQLite, networking, files, and pytest/ruff tooling — 7 chapters.