Advanced ChatGPT Application Primer
Advanced ChatGPT Application Primer
Getting the most out of ChatGPT to solve problems in your application domain.
About the Book
Unleash the Full Potential of ChatGPT with "Advanced ChatGPT Application Primer"
Have you ever felt lost navigating the jumble of ChatGPT applications? Cut through the hype and confusion with the definitive guide on mastering this revolutionary technology.
"Advanced ChatGPT Application Primer" is your essential guide to exploring, understanding, and harnessing the full capabilities of ChatGPT. The book delves deep into ChatGPT's professional applications, steering clear of both simplistic explanations and impenetrable technical jargon. Whether you're new to the ChatGPT ecosystem or a seasoned pro, this book provides the conceptual frameworks you need to use ChatGPT proficiently.
After reading this book, you will:
- Know what you need to pay attention to and what you can ignore when “programming” ChatGPT
- Understand the problem domains best suited for ChatGPT.
- Learn how to deploy ChatGPT in a professional setting.
- Be armed with a toolkit to assess the suitability and utility of ChatGPT in various scenarios.
- Gain insights into ChatGPT's internal workings—demystified for the everyday user.
And much much more.
If you're struggling to tease out the practicality of ChatGPT from its exaggerated claims, or you're tired of hit-or-miss results, this book is for you. Adam combines extensive hands-on experience with meticulous research to create a user-friendly, informative guide. With a focus on real-world applications, he treats ChatGPT as an "AI Appliance," allowing you to concentrate on what you can control. Don't get left behind; become a ChatGPT virtuoso and discover its true potential.
Ready to transform your understanding and usage of ChatGPT? Grab your copy of "Advanced ChatGPT Application Primer" today and join the ranks of professionals making intelligent, informed decisions with ChatGPT.
About the Author
Table of Contents
- Getting Engaged with this Book and its Author
- Notes about this version
- Introduction
- How to Read This Book
- Outline of this Book
- Artificial Intelligence: The New Generic Application
- The Artificial Intelligence “Tipping Point”
- The Tipping Point Unpacked
- The Artificial Intelligence Appliance
- ChatGPT as an AI Appliance
- Why all the Confusion about ChatGPT?
- Who cares about the training process?
- ChatGPT: What’s Under the Hood Doesn’t Matter.
- ChatGPT as a "Black Box"
- The Double-edged Sword of Black Box Systems
- Conclusion
- The ChatGPT Black Box Interface
- Why the Black Box Interface is the right place to start
- We’ve Made the Turing Test Redundant
- Three Analogies for "Black Box" Interaction
- Human Communications as a “Black Box” Use Case
- Search Engine Optimisation
- Savant Syndrome
- Unpacking the ChatGPT Black Box Mindset
- Overview of the ChatGPT Black-box Mindset
- Engage the Black-Box Interface
- ChatGPT Characteristics
- Conclusion
- Play to the ChatGPT Strengths
- GPT Key Strengths
- Conclusion
- Understand Critical ChatGPT Constraints
- Focus on What the User can Control
- Deciding on the Strategy for ChatGPT Use in a User’s Problem Domain
- User Attitude & Expectations of ChatGPT
- Prompt Structure and Content
- Interaction Use Cases
- ChatGPT Product Interaction
- Use of ChatGPT Responses
- Adopt Curious Abundance
- Adopt Black-box Governance
- Advanced Black-box Mindset #1 - Engaging with the Black-box Interface
- Engage the Black-Box Interface
- ChatGPT Characteristics
- Guidelines for Engaging the Black-Box Interface
- Practical Suggestions for Engaging the ChatGPT Black-Box Interface
- Do This:
- Don’t Do This:
- Conclusion
- Engage the Black-Box Interface
- Advanced Black-box Interface #2 - Play to ChatGPT Strengths
- GPT Strengths - An Paradox
- Natural Language Processing
- Input Language Parsing
- Separation of Concerns
- Content Completion and Transformation
- Output Generation
- Human-like Interactions
- Self-improving Capability
- Capability Elements
- Conclusion
- Practical Suggestions for Playing to GPT’s Strengths
- Do This:
- Don’t Do This:
- Conclusion
- Advanced Black-box Interface #3 - Avoid ChatGPT Constraints
- Overview
- No Sentient Knowledge
- Implications of No Sentient Knowledge
- Conclusion
- Response Variability
- Implications of Response Variability
- Mitigation Strategies
- Conclusion
- Limited Depth Responses
- Implications of Limited Depth Responses
- Mitigation Strategies
- Conclusion
- Platform Limits
- Implications of Platform Limits
- Mitigation Strategies
- Conclusion
- Limited Built-in External Integration
- Current Limitations
- Recent Improvements in GPT-4o
- Implications of Improved Integration
- Conclusion
- GPT Contingent Weaknesses
- Key Contingent Weaknesses
- Other Potential Contingent Weaknesses
- Conclusion
- Other ChatGPT Weaknesses
- Conclusion
- Practical Suggestions for Avoiding ChatGPT Limitations and Constraints
- Do This:
- Don’t Do This:
- Conclusion
- Advanced Black-box Interface #4 - Focus on what the user can control
- Strategy
- What is the Objective?
- Why are you using ChatGPT?
- ChatGPT Problem Selection
- Operational Strategy Using ChatGPT
- Attitude and Expectations
- 1. Accuracy
- 2. Relevance
- 3. Anthropomorphism
- 4. Knowledge Scope
- Conclusion
- Measures and Models of ChatGPT Attitude and Expectation
- Prompt Structure & Content
- 1. Prompt Intent
- 2. Prompt Data
- 3. Prompt Context
- 4. Prompt Directives
- 5. Prompt Type
- 6. Prompt Framework
- Conclusion
- GPT Interaction
- Interaction Use Case Patterns
- Interaction with OpenAI Products
- What Is the OpenAI Playground?
- Navigating the Interface
- What Is the OpenAI API Interface?
- Use of Responses
- Assessing ChatGPT Responses
- Conclusion
- Applying ChatGPT Responses to your Domain
- Variability of Responses
- Who touched the content last?
- Workflow Analysis
- Practical Suggestions for Focusing on What the User Can Control
- Do This:
- Don’t Do This:
- Conclusion
- Strategy
- Advanced Black-box Interface #5 - Adopt Curious Abundance
- Curious Abundance Overview
- 1. (In)dependence
- 2. Rational / Empirical
- 3. Confidence
- 4. Optimism
- Conclusion
- Practical Suggestions for Embracing a Curious Abundance Mindset
- Do This:
- Don’t Do This:
- Conclusion
- Advanced Black-box Interface #6 - Implement Black-box Governance
- Overview
- Understanding the AI Ecosystem
- 1. The AI Supply Chain
- 2. Market Dynamics
- 3. Knowledge of Suppliers
- Conclusion
- Black-box Risk Management
- 1. Audit & Records
- 2. Explainability
- 3. Disclosure and Citation
- Rules and Criteria for Disclosure
- Guidelines for Teams
- Conclusion
- Quality and Use of Results
- Verification
- Validation
- Injection
- Errors
- Conclusion
- Guidelines and Guardrails
- Myths, Mistakes and Biases That Will Impact Your Use of ChatGPT
- Preparing Your Team for AI Collaboration
- Black-box Operations
- 1. AI Knowledge Management
- 2. Incident Management
- 3. Learning Organisation
- Conclusion
- Practical Suggestions for Adopting Black-box Governance
- Do This:
- Don’t Do This:
- Conclusion
- Conclusion
- References
- Appendices
- Advanced Prompt Engineering
- Prompt Engineering Overview
- Prompt Types and Data Inputs: A Summary
- Prompt Types Deep Dive
- Standard Prompts
- Zero, One, and Few-Shot Prompting
- Let’s Think About This Prompt
- Self-Consistency Prompt
- Seed-word Prompt
- Knowledge Generation Prompt
- Knowledge Integration Prompts
- Multiple Choice Prompts
- Interpretable Soft Prompts
- Controlled Generation Prompts
- Question-Answering Prompts
- Summarisation Prompts and How to Use Them with ChatGPT
- Dialogue Prompts
- Adversarial Prompts
- Clustering Prompts and ChatGPT
- Reinforcement Learning Prompts
- Curriculum Learning Prompts
- Sentiment Analysis Prompts
- Named Entity Recognition Prompts
- Text Classification Prompts
- Text Generation Prompts
- Completion Prompts
- Translation Prompts
- Extrapolation Prompts
- Analogy Prompts
- Correction Prompts
- Conjunction Prompts
- Divergence Prompts
- Ethical or Morality-based Prompts
- Historical Context Prompts
- Introduction to Prompt Engineering Techniques
- Prompt Technique Examples
- Prompt Types and Structures: A Summary
- NLP Frameworks for Prompt Generation
- Comparison of NLP Frameworks for Designing Prompts in Agile Project Management
- Detailed Breakdown of Five NLP Frameworks for Prompt Design
- Prompt Engineering: Crafting Effective Queries
- A Primer on Artificial Intelligence applications
- A. Structuring the AI Solution Domain
- AI Functions
- AI Functions and Prompt types
- A Little Knowledge Won’t Hurt
- A Shallow Dive into ChatGPT Operation
- Probabilistic Text Completion Transformer
- Advanced GPT Internal Operations
- Advanced Internal Operations of GPT
- Understanding the ChatGPT Response Generation Cycle
- The Role of Text Embeddings in ChatGPT’s Response Cycle
- Pseudocode for ChatGPT’s End-to-End Response Generation Process
- Advanced Prompt Engineering
- More from Adam Russell
- About the Author
- Career Summary
- A Career by Numbers
- Introduction to a Fetish
- The 10,000 Hours Thing
- My Experience by Numbers: Summary
- Experience Hours by Generic Role
- Copyright
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