Intermediate/Advanced Prompt Engineering

Overview

In this lab, you will be creating different prompt formats for natural language processing and human–computer interaction. Crafting effective prompts is crucial for enhancing user experiences in applications such as chatbots and virtual assistants. In this lab, we will explore various approaches to prompt formulation, covering key elements like context, role, entity, action, type, task, purpose, expectation, request, steps, and examples. By the end of this lab, you will gain valuable insights into designing prompts that are tailored to specific needs and scenarios, ultimately improving communication between users and systems.

In this lab, you will learn to:

  1. Create different prompt formats using context, role, entity, action, type, and examples.
  2. Create different prompt formats using role, task, and format.
  3. Create different prompt formats using purpose, expectation, context, request, and action.
  4. Create different prompt formats using roles, actions, and steps, context, examples, and format.
  5. Create prompts using prompt priming and adjusting parameters.

Key terms and descriptions

Prompt Engineering
The practice of crafting prompts, an essential skill in natural language processing and human–computer interaction.
Context
The overarching environment and circumstances that influence user experiences and interactions
Role
The user's position and purpose, which play a central role in guiding interactions and shaping the user experience
Entity
Specific objects, concepts, or elements that enrich prompts by providing depth and specificity
Action
The user's intended activity or operation, which contributes to the clarity and effectiveness of prompts
Type
The classification or category of prompts, helping tailor them to specific needs and scenarios
Task
A task-oriented approach to prompts that leads users through defined roles and responsibilities
Purpose
The clear objectives and goals that prompt design aims to align user interactions with
Expectation
The anticipation or foresight of outcomes, set by prompts to guide user expectations effectively
Request
User-initiated queries or demands, prompting corresponding actions or responses
Steps
A sequence of actions or processes that users are guided through within prompts
Examples
Illustrative instances or cases that make abstract concepts tangible for users
Format
The structure or style of prompts, such as linear narratives, branching conversations, or concise queries
Prompt Priming
A technique that influences user responses by adjusting parameters and customizing prompts for better engagement