Tag Archives: rag

Retrieval Augmented Generation (RAG)

In short, RAG is a style of LLM usage where you give the LLM more information on top of your prompt. Between prompt engineering and RAG, you can dramatically increase the ability of the model to predict an accurate response. This can be in the form of internet searches the agent performs automatically (like GeminiContinue reading “Retrieval Augmented Generation (RAG)”

LLM Tips and Tools

Large language models (LLMs) utilize a form of neural network architecture to learn the relationships between words and predict the next word in a sentence (more general than words with multimodal models but words and sentences are a fine mental model to have). Below are some resources and tips I am collecting to better useContinue reading “LLM Tips and Tools”