Embeddings
How text becomes numbers that capture meaning, the math behind semantic search.
3 essays, newest first
- What are Vector Embeddings in Easy Words Vector embeddings translate text into numbers so a computer can measure meaning by distance. Words and documents about similar topics end up close together in a mathematical space. Here is how that works, why it powers modern search, and what it means for business.
- The Flaw: Why You Cannot Code Bias Out of AI Can AI be unbiased? No mind generalizes without some bias, and AI trained on our text learns ours. Bias can be reduced; the debiasing to fear only hides it.
- What is RAG in Easy Words RAG in plain words: how an AI looks things up before it answers, where it still goes wrong, and when to use it instead of fine-tuning.
