-
Matrices — Organized, Simultaneous Dot Products (Ep:02.01)
A matrix is just organized, simultaneous dot products. Module 2 of From Zero to Agents builds matrix multiplication from first principles and uses it to fully decode the real attention…
-
Vectors, Norms, and Dot Products Explained: The Math Behind Every Embedding (Ep.02.00)
Every embedding, similarity score, and attention weight in modern AI comes down to vector operations. Module 2 of From Zero to Agents builds vectors, norms, and dot products from first…
-
The “Bank” Problem: Why Your RAG System Might Be Retrieving the Wrong Thing
A word embedding for “bank” has to mean both a riverbank and a financial institution at once. Here’s why that quiet compromise causes real retrieval errors in production RAG and…
-
Why Your Chatbot Breaks on Typos and What Actually Fixes It
A single misspelled word can silently degrade an LLM application’s output. Here’s what’s actually happening under the hood, and why byte-level BPE tokenization — not better prompting — is the…
-
Byte-Pair Encoding Explained: Why Tokenization Isn’t Just Splitting on Spaces (Ep.01.00)
Every episode of Module 00 quietly relied on .split() — text broken into whole words at whitespace, no questions asked. It was a deliberate simplification, flagged twice and never resolved.…
-
Is Your AI Agent Actually Intelligent, or Just a Very Good Parrot?
Every AI agent demo looks intelligent. That’s the problem. A demo is, almost by definition, a curated set of inputs the builder already knows the system handles well. The interesting…
Search
Categories
- Artificial Intelligence (AI) (30)
- Learn FastAPI from Scratch (12)
- Shopify (1)
- Uncategorized (97)
- Versana Companion Plugin (7)
- Weebly (24)
- Weebly Apps (7)
- Wordpress (58)
- WordPress Block Theme Development (20)
- Zero to Automation Pro: The Complete n8n Developer Series (3)
Recent Posts
- Matrices — Organized, Simultaneous Dot Products (Ep:02.01)
- Vectors, Norms, and Dot Products Explained: The Math Behind Every Embedding (Ep.02.00)
- From Words to Attention: The Full Story of How AI Learned to Represent Language (Summary)
- The “Bank” Problem: Why Your RAG System Might Be Retrieving the Wrong Thing
- Why Your Chatbot Breaks on Typos and What Actually Fixes It
Tags
AI course AI engineering angular attention mechanism block theme BlockTheme block themes CodoBookings c programming data science deep learning fastapi FastAPI development environment full site editing gutenberg java learn AI from scratch learn angular learn html & html5 learn wordpress machine learning mongodb n8n automation n8n beginner guide n8n tutorial nginx NLP fundamentals nodejs react R programming versana versana companion plugin vps server website migration weebly app weebly apps weebly tutorials word embeddings wordpress blocks wordpress block theme wordpress news wordpress plugin development wordpress plugins wordpress security wordpress tutorials