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LinkedIn Learning

ChatGPT: Crafting Exceptional GPTs for Enhanced Productivity and Innovation

via LinkedIn Learning

Overview

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Develop the technical skills required to start building your own GPTs, improving productivity, and driving innovation.

Syllabus

1. Foundations of GPT Creation
  • GPTs and ChatGPT: Introduction to crafting your own powerful AI
  • GPTs and ChatGPT: Programming with prompts for effective AI instructions
  • GPTs and ChatGPT: Mastering custom instructions for tailored AI performance
  • GPTs and ChatGPT: Enhancing performance with retrieval-augmented generation
  • GPTs and ChatGPT: Building powerful AI with integrated capabilities
  • GPTs and ChatGPT: Understanding tool use for enhanced capabilities and actions
2. Personal Development and Testing
  • GPTs and ChatGPT: Creating a persona for your custom AI
  • GPTs and ChatGPT: The importance of effective testing
  • GPTs and ChatGPT: Building benchmarks to measure AI performance
  • GPTs and ChatGPT: Generating test cases with custom AI
  • GPTs and ChatGPT: Helping users solve problems without giving direct answers
3. Ensuring Accuracy and Readability
  • GPTs and ChatGPT: Citing knowledge to ensure accuracy and credibility
  • GPTs and ChatGPT: Effective output formatting for enhanced readability
  • GPTs and ChatGPT: Providing accurate information and ensuring factual responses
  • GPTs and ChatGPT: Hedging while helping—crafting balanced responses
  • GPTs and ChatGPT: Designing interactive experiences with menu action patterns
4. Optimizing User Experience
  • GPTs and ChatGPT: Finding additional resources and support
  • GPTs and ChatGPT: Ensuring that GPTs have the information for better decision-making
  • GPTs and ChatGPT: Flipped interaction pattern for dynamic conversations
  • GPTs and ChatGPT: Addressing missing context for better user interaction
  • GPTs and ChatGPT: Creating tailored user experiences
5. Managing AI Boundaries and Ambiguity
  • GPTs and ChatGPT: Setting boundaries and defining limits in AI responses
  • GPTs and ChatGPT: Responding to knowledge gaps with effective strategies
  • GPTs and ChatGPT: Handling ambiguity and refining user prompts
  • GPTs and ChatGPT: Enforcing boundaries with alternative approaches
  • GPTs and ChatGPT: Ensuring accuracy with cognitive verifier patterns
6. Advanced GPT Techniques and Next Steps
  • GPTs and ChatGPT: Managing ambiguity in concept mapping
  • GPTs and ChatGPT: Resolving knowledge conflicts in AI outputs
  • GPTs and ChatGPT: Understanding accountability in AI usage
  • GPTs and ChatGPT: Conducting adversarial testing for robustness
  • GPTs and ChatGPT: Your next steps in crafting personalized AI automation

Taught by

Jules White

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4.7 rating at LinkedIn Learning based on 89 ratings

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