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Devin Pellegrino edited this page Jan 27, 2024 · 8 revisions

Welcome to the Prompt-Engineering-Mastery wiki!

Toggle table of contents Pages 110

Home
A1.1 ‐ Multi‐dimensional Queries
A1.2 ‐ Hypothetical and Conditional Structures
A1.3 ‐ Semantic Anchoring
A1.4 ‐ Advanced Few‐Shot Mechanics
A1.5 ‐ High‐Order Prompt Engineering
A1.6 ‐ Meta Prompts
A1.7 ‐ Advanced Prompt Structures and Techniques
A2.1 ‐ Sequential Task Management
A2.2 ‐ Scenario Simulation
A2.3 ‐ Strategies
A3.1 ‐ Emotional Depth
A3.2 ‐ Complex Conversational Flows
A3.3 ‐ Advanced Attention Mechanics
A3.4 ‐ Collaborative and Dynamic Prompting
A3.5 ‐ Approaches
A4.1 ‐ In‐depth Conversational AI
A4.2 ‐ Advanced Problem‐Solving
A4.3 ‐ Complex Creative Endeavors
AT1.1 ‐ Knowledge Maps
AT1.2 ‐ Semantic Graphs
AT1.3 ‐ Semantic Webs
AT2.1 ‐ Dynamic Few Shots
AT2.2 ‐ Self‐Generated Chain of Thought
AT2.3 ‐ Majority Vote Ensembling
B1.1 ‐ Prompt Structures
B1.2 ‐ Command Types
B1.3 ‐ Syntax Elements
B2.1 ‐ Question Types
B2.2 ‐ Response Structures
B3.1 ‐ Dialogue Flow
B3.2 ‐ Tone Setting
B3.3 ‐ Context Awareness
B4.1 ‐ Q&A
B4.2 ‐ Simple Storytelling
B4.3 ‐ Elementary Data Retrieval
B4.4 ‐ LLM Configuration
E1.1 ‐ Integrated Cross‐Domain Knowledge
E1.2 ‐ JSON Prompt Structures
E1.3 ‐ Matrix Representation
E1.4 ‐ Interdisciplinary Knowledge Synthesis
E1.5 ‐ Advanced Referencing
E1.6 ‐ Dynamic Prompting in Cross‐Domain Integration
E1.7 ‐ Tailoring Prompts to Specific Domains
E1.8 ‐ Tailored Prompt Design for Specific Use Cases
E2.1 ‐ Mastering ChatGPT's Toolkit
E2.2 ‐ Resource Optimization
E2.3 ‐ Anchoring for Semantic Control
E2.4 ‐ Managing AI Behavior and Expectations
E2.5 ‐ Metamodeling
E2.6 ‐ Holistic Zero‐Shot Prompt Engineering
E2.7 ‐ Advanced Error Correction
E3.1 ‐ Response Optimization
E3.2 ‐ Tool Synergy
E3.3 ‐ Advanced Application Development
E3.4 ‐ Approaches
E3.5 ‐ Prompt Template Conversion
E4.1 ‐ Expert System Integration
E4.2 ‐ Cross‐Domain Knowledge Synthesis
E4.3 ‐ Sophisticated Creative Processes
I1.1 ‐ Context Retention
I1.2 ‐ Relevance Maintenance
I1.3 ‐ Context Management Strategies
I2.1 ‐ Genre Exploration
I2.2 ‐ Creative Styles
I2.3 ‐ Prompt Templates & Workflows
I2.4 ‐ Creative Prompt Applications
I2.5 ‐ Creative Techniques
I3.1 ‐ Logical Progression
I3.2 ‐ Emotional Intelligence
I3.3 ‐ Semantic Consistency
I3.4 ‐ Few‐Shot Learning in Conversations
I3.5 ‐ Zero‐Shot Prompting
I3.6 ‐ Conversational Logic Methodologies
I4.1 ‐ Advanced Contextual Conversations
I4.2 ‐ Creative Writing
I4.3 ‐ Intermediate Problem‐Solving
M1.1 ‐ Probabilistic Reasoning
M1.2 ‐ Quantum Entanglement Concepts
M1.3 ‐ Complexity Management
M1.4 ‐ Analogies in Zero‐Shot Prompt Engineering
M1.5 ‐ Transcendent Logic Frameworks
M2.1 ‐ Cross‐Platform Interoperability
M2.2 ‐ Integrated System Design
M2.3 ‐ Applications
M3.1 ‐ Outcome Optimization
M3.2 ‐ Scenario Analysis
M3.3 ‐ Recursive Self‐Improvement Prompts
M3.4 ‐ Applications
M4.1 ‐ DSL and Enhanced Semantics
M4.2 ‐ Recursive Learning Prompts
M4.3 ‐ Cognitive Process Simulation
M4.4 ‐ Behavioral Pattern Recognition
M4.5 ‐ AI Behavior Exploration
PE1.1 ‐ Solution Spaces
PE1.2 ‐ Action Spaces
PE1.3 ‐ Matrix Representation
PE2.1 ‐ Guiding AI with Operational Context
PE2.2 ‐ Balancing Explicit and Implicit Instructions
PE2.3 ‐ Meta‐Context in Conversational AI
PE3.1 ‐ Utilizing Explicit Instructions for Clarity
PE3.2 ‐ Employing Implicit Guidance
UC1.1 ‐ Adapting AI Behavior to Unique User Needs in Real‐Time
UC2.1 ‐ Prime AI with Detailed Meta‐Context
UC2.2 ‐ AI Acknowledgment and Adaptability within Operational Boundaries
UC2.3 ‐ Using Matrix Representation
UC3.1 ‐ AI Evolving Understanding Based on User Interactions
UC3.2 ‐ Refinement of AI Responses for Personalized Assistance
UC4.1 ‐ User‐Specific Examples
UC4.2 ‐ Continuous Personalization

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