Guides & Explainers
In-depth written guides on AI concepts, from beginner to advanced
GLM-5.3 Explained: Price, Specs and Open Weights
Z.ai's GLM-5.3: same base as GLM-5.2 with post-training gains, $1.40/$4.40 per million tokens, 1M context, always-on reasoning, 744B weights on Hugging Face.
Landmark AI Research Papers, Explained Simply
The AI papers behind ChatGPT, Claude and Gemini - transformer, GPT-3, InstructGPT, scaling laws, diffusion, RAG - what each changed, with free arXiv links.
Computer Vision Explained: How AI Sees Images
Computer vision explained simply: how a computer reads an image, classification vs detection vs segmentation, how models are trained, uses and limits.
AI Ethics Explained: Bias, Safety and Responsible AI
AI ethics explained simply: the main principles, where AI bias comes from, AI safety and alignment, and how UNESCO, the OECD, NIST and the EU AI Act set rules.
Prompt Engineering Guide: How to Write Better AI Prompts
How to write AI prompts that work: be specific, add context, few-shot examples, chain-of-thought, roles and output formats, with before-and-after examples.
Getting Started with AI Tools: A Beginner's Guide
What AI tools are, the main types (chat, coding, search, image, voice), which list free plans, how to start using a chat assistant, and their limits.
How LLMs Work: A Beginner's Guide to Large Language Models
How large language models work in plain English: tokens, embeddings, attention, training and why they make mistakes, with diagrams and live model data.
Machine Learning Basics: What It Is and How It Works
Machine learning explained for beginners: how a model learns from data step by step, the three types, common methods, overfitting, and where it is used.
What Is AI? A Beginner's Guide to Artificial Intelligence
What artificial intelligence is, in plain words: how it works, AI vs machine learning vs deep learning, the types of AI, everyday examples, and its limits.
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