Example of Reframing Text Classification as Text Generation

Instruction-based Prompts

Few-Shot Learning

Alternative Prompt Formats for Machine Translation

Text Classification in NLP

Versatility of Prompt Templates

Grammaticality Judgment as a Binary Classification Task for LLMs

Formal Definition of LLM Inference

Illustrative Purpose of Prompting Examples

The paradigm of using Large Language Models (LLMs) allows for many different NLP tasks (e.g., translation, sentiment analysis) to be reframed as a text generation problem. What is the fundamental advantage of this approach over traditional methods that required building a separate, specifically trained model for each individual task?

Reframing a Traditional NLP Task

Choosing an NLP Development Strategy

Classification via Prompt Completion

Reframing Numerical Scoring as Text Generation