Applications of Foundation Models I
Explore the practical applications of foundation models in AI, focusing on adjusting summarization models for user preferences and cost-effective strategies for training custom language models on large legal datasets. Understand retrieval-augmented generation benefits and the role of AI agents in complex tasks.
We'll cover the following...
Question 29
You are developing an AI-powered article summarization tool for a news aggregator app. Users rely on concise and accurate summaries of news articles to quickly understand the content. The summarizer needs to adjust its behavior based on user preferences for different types of summaries: fact-focused (precise) and creative (engaging).
How will you adjust the temperature of the summarizer for each user category?
A. Low temperature for fact-focused summaries and high temperature for creative summaries
B. High temperature for fact-focused summaries and ...