A large language model undergoes two stages of training. First, it is pre-trained on a vast dataset of internet text. Second, it is fine-tuned on a highly diverse dataset containing thousands of varied instructions and their corresponding correct outputs (e.g., 'Summarize this text...', 'Translate this sentence...', 'Write a poem about...'). The model is then given a completely novel task it has never seen before: 'Convert the following recipe from imperial to metric units.' Which statement best analyzes the likely outcome?
0
1
Tags
Ch.2 Generative Models - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
Analysis in Bloom's Taxonomy
Cognitive Psychology
Psychology
Social Science
Empirical Science
Science
Related
Distinction Between LLMs and BERT in Task Generalization
A large language model undergoes two stages of training. First, it is pre-trained on a vast dataset of internet text. Second, it is fine-tuned on a highly diverse dataset containing thousands of varied instructions and their corresponding correct outputs (e.g., 'Summarize this text...', 'Translate this sentence...', 'Write a poem about...'). The model is then given a completely novel task it has never seen before: 'Convert the following recipe from imperial to metric units.' Which statement best analyzes the likely outcome?
AI Assistant Development Strategy
A large language model develops the ability to perform tasks it has never been explicitly trained on. Arrange the following stages in the correct chronological and causal order that leads to this outcome.