TeahouseAI
  • Master LLMs
    • Introduction
    • Updates
    • Main Concepts
      • Zero Shot Chain of Thought
      • Multi-Shot (Multiple Examples)
      • Temperature
      • Tone
      • Style
      • Role Prompting
      • Embeddings
      • Vector Databases
      • How to Handle Identifying Information
      • Hallucinations
      • Tokens
      • Ethics
      • Security Considerations
      • Prompt Injection
      • Jail Breaking
      • Agents
    • Main LLMs
      • ChatGPT
        • Overview
        • Common Questions
        • When to use
        • CustomGPTs
        • Plugins
          • Set Up
          • Speak
            • Speak's View
            • Our View
          • Wolfram
            • Wolfram's View
            • Our View
          • Perfect Prompt
            • Perfect Prompt's View
            • Our View
          • Under Review - Not Finalized
            • Expedia & Kayak
          • Other Plugin Reviews
        • Code Interpreter
        • DALLĀ·E 3
      • Claude
      • Gemini
      • Llama
      • Perplexity
    • Use Cases
      • Getting Started
      • How to Use the Prompts
      • How to create your own prompts
      • Learning
        • MBA Overview
        • MBA Subjects
          • Accounting
          • Finance
          • Marketing
          • Micro Econ
          • Operations
          • Organization Behavior
          • Strategy
        • Learn new Concepts
        • Career Transition
        • Learn a Language
        • How to pass a Test
        • 3000 Reps
        • Learn Anything - Legacy
      • Marketing
        • Brand Identity
        • Competitors Research
        • Building a Personal Brand
      • Sales
        • LinkedIn Messages
        • Newsletters
        • Cold Email
        • Prospect Research
      • Life Style
        • Cooking
        • Fitness
    • AI Tools
      • Analyzing PDFs
        • Claude Recommended Workflow
        • Dante
        • PDF.AI
        • AskYourPDF
        • ChatWithPDF
      • Writing Research Papers
        • Consensus
        • Jenni AI
  • Support
    • Questions?
  • AI Content
    • Twitter Lists
      • AI Tips and Tricks
      • AI Art
    • Guides
      • Prompting
    • Courses
      • AI Art
      • Prompting
  • Everything Else
    • Use Cases - Testing
      • Learning
        • Lesson Plans
        • School Assignments
      • Gifts
        • Prompts
        • Apps
      • Travel - Work In Progress
        • Apps
        • Prompts
      • Career - Work In Progress
        • Resume
        • Job Search
        • Interview
        • Career Planning
      • Government Research
        • United States
          • Department of Agriculture
            • Meat Industry
          • Department of Labor
            • Mines
        • Prompts
      • Subject Matter Experts
        • Marketing and Sales
        • Pricing and Revenue Management
        • Operations
        • Risk Management and Compliance
        • Technology and Data
        • Supply Chain
      • Research - Work In Progress
        • 10K Analysis
      • Travel
      • LinkedIn Posts
    • Why It Matters
    • Crypto
      • Government Crypto Prompts
      • Tools - Work in Progress
        • Arkham
        • Dune
        • DeFi Lama
      • Prompts
    • Traditional Finance
      • Prompts
  • Legacy
    • Old LLM Features
      • Internet Search - Currently Disabled
Powered by GitBook
On this page
  • What is Role Prompting?
  • When should you use it?
  • Example
  • Final Notes
  1. Master LLMs
  2. Main Concepts

Role Prompting

TLDR: Role Prompting is a technique that allows users to interact with an AI as if it were an experienced professional in any field. By assigning a specific role, such as 'You are a respected doctor' or 'You are an esteemed lawyer,' a user provides the AI with context, enabling it to deliver insightful responses with a touch of authority. In newer versions of LLMs like GPT-3+, the system has become more adept at understanding user needs, making Role Prompting less important.

What is Role Prompting?

Role Prompting is a technique that involves assigning a specific role or identity to a Language Model (LM) like ChatGPT, enabling it to generate responses from the perspective of that role. By framing the AI as an expert in a particular field or profession, users can instruct the LM to provide insights, advice, or answers within the context of that role.

Assigning a role to the LM enhances the quality and relevance of the generated responses. It allows the AI to tap into domain-specific knowledge and adopt the tone, language, and style associated with that role. This technique can be particularly useful when seeking specialized information or exploring a topic from a specific professional standpoint.

When should you use it?

Role Prompting is beneficial when you want to utilize a specific set of knowledge. For example, you might prompt the AI by saying, "You are a renowned chef," or "You are a seasoned travel agent." This context helps the LM understand the desired approach and generate responses that align with the assumed role's expertise and perspective.

Example

These two prompts show how with role prompting you receive more tailored advice vs. non-role prompts provided more generic advice

Role Prompt: "You are a business consultant specializing in sales operations and digital marketing, help me come up with a framework to improve a company's marketing and sales utilizing specialized knowledge and experience."

Non-Role Prompt: "Help me come up with a framework to improve a company's marketing and sales."

Final Notes

By leveraging Role Prompting, users can engage in more dynamic and interactive conversations with the LM, as if they were conversing with an expert in a specific field. The LM's responses can provide valuable insights, advice, or creative ideas tailored to the given role, enriching the user's experience and fostering a more engaging and informative dialogue.

It is important to note that while Role Prompting can enhance the LM's ability to provide domain-specific responses, it is still important to exercise critical thinking and validate information from reliable sources, as the AI-generated responses may not always be entirely accurate or up-to-date.

By using Role Prompting, users can elicit expert advice and domain-specific insights from the LM, enhancing the relevance and value of the generated responses.

PreviousStyleNextEmbeddings

Last updated 1 year ago