4 posts found
Training data is everything the model learned. The context window is what it's thinking about right now. Here's why the distinction matters.
Research proved that LLMs attend strongly to the beginning and end of context but poorly to the middle. This is a mathematical property, not a bug.
AI models are stateless. Each conversation is a fresh start. There's no database storing what you said yesterday. Here's why — and what it means for you.
If context windows were infinite, free, and didn't degrade, we wouldn't need RAG. Here's why retrieval-augmented generation exists and when to use it.