Python/AI

Question 1

pytorch

Answer 1

• it’s a machie learning library
• It offers dynamic computational graphs

Question 2

RAG

Answer 2

Retrieval-Augmented Generation

Here’s how RAG works to generate text based on a prompt:

1. Retrieval (R): The system searches for relevant information from external sources like databases or the web.
2. Augmentation (A): The retrieved information is passed to the generative model as context.
3. Generation (G): The model uses both the prompt and the retrieved context to generate a final, accurate response.

This combines retrieval and generation seamlessly!