Secondary sources will offer the following except:

Primary sources are written by people who have studied the event after the fact.

The purpose of Document 2, at the time it was written, was: 

What is the defining difference of Autonomous Agents compared to Predefined Workflows in an Agentic System?

In the comparison between RAG and LLM Fine-tuning, what does LLM Fine-tuning directly modify?

Which of the following is a key step in the process of training Large Language Model (LLM) foundation models, following Pre-training?

Which advanced RAG technique uses a Lego-like architecture of independent modules (like data processing and index modules) and a central Orchestration layer?

Which type of prompting technique involves assigning a persona (such as a “teacher” or “salesperson”) to the LLM to guide the style, tone, and focus of its responses?

A key benefit of advanced Reinforcement Fine-tuning (RFT) is its ability to:

RAG is cited as a cost-effective solution for which challenge, compared to fully retraining a model?