embeddings
Everything on Ground Truth tagged “embeddings” — 3 items.
Retrieval-Augmented Generation: giving a model an open book Lesson
A language model only knows what it learned in training, and it cannot cite sources. RAG fixes both by letting the model look things up in a real document store at answer time, then write its answer from what it found.
Embeddings: how AI turns words into directions in space Lesson
Before a model can reason about a word, an image, or a paragraph, it has to turn it into a list of numbers -- a vector. Embeddings are how meaning gets encoded as position in space, so that closeness becomes similarity.
Tokenization: how an AI chops your words into pieces it can read Lesson
A language model never sees letters or words. It sees tokens, chunks of text turned into numbers. How that chopping works quietly shapes cost, context limits, multilingual fairness, and why models stumble on spelling and arithmetic.