Learn Before
Demonstration of Prompting's Power with Large-Scale Models
While prompting was initially tested on smaller models, its true potential was realized with the advent of large-scale models like GPT-3. These models demonstrated an impressive ability to generate high-quality text for a variety of tasks using simple prompts, showcasing the effectiveness of the prompting paradigm at scale.
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Ch.4 Alignment - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
Ch.3 Prompting - Foundations of Large Language Models
Related
Historical Antecedents of Prompting
Shift from Fine-Tuning to Prompting with Pre-trained Models
Demonstration of Prompting's Power with Large-Scale Models
The Interplay Between Model Advancement and Interaction Methods
Which of the following statements best analyzes the co-evolutionary relationship between the increasing scale of language models and the emergence of prompting as a key technology in Natural Language Processing?
Emergence of Prompt Engineering as a Research Field
Arrange the following key developments in the relationship between language models and user interaction into the correct chronological order, from earliest to most recent.
Learn After
A researcher provides the exact same simple instruction—'Summarize the provided article about renewable energy in three sentences'—to two different text-generating AI systems. System X is a model with a few hundred million parameters, developed several years ago. System Y is a modern model with hundreds of billions of parameters. Based on the relationship between model scale and the power of instruction-following, what is the most likely outcome?
Evaluating the Impact of Model Scale on Instruction Following
The Emergence of Instruction-Following at Scale