Example of a Complete Prompt for Polarity Classification

Components of an Instruction-based Prompt

Zero-Shot Learning with LLMs

Example of a Zero-Shot Prompt for Polarity Classification (Negative Sentiment)

Examples of Instruction-based Prompts for Polarity Classification

Using Descriptive Prompts for Novel Classification Tasks

Challenge of Prompting LLMs for Many-Category Classification

Example of a Zero-Shot Prompt for Polarity Classification (Positive Sentiment)

Example of a Zero-Shot Prompt for Polarity Classification (Positive Sentiment on Food)

Adapting Prompt Detail to an LLM's Task Familiarity

A developer needs a large language model to classify incoming customer support tickets. The goal is to sort each ticket into one of three specific categories: 'Technical Issue', 'Billing Inquiry', or 'General Feedback'. Which of the following prompts is best structured to achieve this task reliably and consistently?

Diagnosing Ineffective Prompt Instructions

Crafting an Instruction for a Novel Task

Instructing LLMs with Detailed Descriptions

Using Descriptive Prompts for Novel Classification Tasks

Troubleshooting LLM Performance on a Custom Task

A developer needs to use a large language model for two distinct purposes. The first task is to summarize long news articles into a single paragraph. The second task is to categorize employee performance notes into a new, company-specific framework with three tiers ('Exceeds Expectations', 'Meets Expectations', 'Needs Development'), based on a unique set of internal performance indicators. Which of the following prompting strategies would be most effective?

Analyzing Prompt Complexity