How AI Knows Things It Was Never Trained On
Large language models like ChatGPT are powerful, but they have one major limitation — their knowledge is frozen at the time of training.
To solve this problem, modern AI systems use a technique called Retrieval Augmented Generation (RAG).
In this video, we explain how RAG works and why it has become one of the most important architectures for building reliable AI applications.
You’ll learn:
• Why language models need external knowledge
• How embeddings convert questions into vectors
• How vector databases retrieve relevant documents
• How AI combines retrieved knowledge with generation
• W…
Watch on YouTube ↗
(saves to browser)
DeepCamp AI