A clear breakdown of three core AI terms — Foundation Models, LLMs, and Transformers — and how they nest together.

Practical tips to get the most out of Claude Code — from context management and prompting patterns to cost-saving strategies.

Notes from Anthropic's developer-focused courses: Building With The Claude API, Introduction To Agent Skills, Claude Code In Action, and Model Context Protocol.

Notes from Anthropic's cloud platform courses covering Claude on Amazon Bedrock, Google Vertex AI, and the Anthropic Cookbook — with practical code examples.

Personal notes from Anthropic's free AI Fluency courses — covering Claude 101, AI frameworks, educator guides, student tips, and nonprofit applications.

OpenClaw is a self-hosted AI gateway that turns your own machine into an always-on AI agent accessible from WhatsApp, Telegram, Discord, and more.

A clear breakdown of floating-point formats and why choosing between float16, bfloat16, and float32 makes a real difference in training speed, memory, and stability.

A clear, professional explanation of asymmetric cryptography — how public and private keys work, why they're secure, and how SSH uses them to replace passwords.

A comprehensive notebook on PyTorch — tensors, autograd, training loops, and the full ecosystem from core libraries to community tools.

A notebook covering basic statistical terms, normal distributions, sampling, confidence intervals, and hypothesis testing.