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Better AI Prompts for a Better Response

Class Code Date Delivery Method Cost
  • Tue Jun 18, 9:00 am to 12:00 pm
Live Online - 1 session $200
  • Tue Jul 23, 9:00 am to 12:00 pm
Live Online - 1 session $200
  • Tue Aug 20, 9:00 am to 12:00 pm
Live Online - 1 session $200

This workshop is designed to equip you with the foundational skills for effective prompt engineering with ChatGPT. Prompt engineering is essential for the effective, ethical, and efficient use of AI technologies across different contexts.

Program Description

Effective prompt engineering helps elicit more accurate, relevant, and useful responses from AI models. By carefully crafting prompts, users can guide the AI to better understand the task at hand and deliver outputs that meet specific requirements or expectations. 

Skilled prompt engineering allows for the customization of AI responses to fit a wide variety of use cases, from creative writing and content generation to technical troubleshooting and customer support. This flexibility expands the practical applications of AI across different industries and sectors. Efficient prompts can also reduce the need for multiple iterations of user input and AI output, which in turn can decrease the computational resources required. The workshop will include hands-on activities and actual AI interactions.

Learning Objectives

Participants will have an opportunity to:

  • Acquire specialized skills that boost their efficiency in interacting with and deploying AI models.
  • Improve their AI Outcomes by learning how to elicit higher quality and more relevant responses from AI, enhancing user experience and satisfaction.
  • Gain confidence in their ability to control and direct AI technologies in various applications 
  • Understand the current capabilities and limitations of AI models like ChatGPT
  • Use basic principles of prompt engineering to create effective prompts.
  • Learn how to modify prompts based on the AI's responses to achieve clearer results.
  • Differentiate between effective and ineffective prompt strategies.
  • Analyze the outcomes of various prompts to understand why certain prompts work better than others in specific scenarios.
Topic Outline

Introduction to Prompt Engineering

  • Overview of AI and Language Models
  • Brief history of AI language models
  • Introduction to ChatGPT and its underlying technology

What is Prompt Engineering?

  • Key Terms
  • Definition and importance of prompt engineering
  • Goals and challenges of prompt engineering

 Principles of Effective Prompting

  • Understanding the Model's Perspective
  • How AI models interpret input
  • Common pitfalls in communicating with AI
  • Components of a Good Prompt
  • Clarity and specificity
  • Use of keywords and instructions
  • Structuring information in prompts

 Advanced Prompt Engineering Techniques

  • Conditional Logic in Prompts
  • Using conditions to shape responses
  • Scenario-based prompt creation
  • Creative Use of Prompts
  • Prompts for creative content generation
  • Prompts for data extraction and analysis

 Ethical Considerations and Best Practices

  • Ethical Prompting
  • Avoiding biases in AI responses
  • Ensuring ethical use of AI outputs
  • Best Practices in Prompt Engineering
  • Dos and don¿ts of prompt crafting
  • Maintaining user privacy and data security

Collaborative Problem-solving and Q&A

Special Features

Workshop Participants will receive access to an AI Model
Workshop will include hands-on exercises and activities

Custom training workshops are available for this program

Technology training sessions structured around individual or group learning objectives. Learn more about custom training

University IT Technology Training sessions are available to a wide range of participants, including Stanford University staff, faculty, students, and employees of Stanford Hospitals & Clinics, such as Stanford Health Care, Stanford Health Care Tri-Valley, Stanford Medicine Partners, and Stanford Medicine Children's Health.

Additionally, some of these programs are open to interested individuals not affiliated with Stanford, allowing for broader community engagement and learning opportunities.