Prompt Engineering Research

Advancing AI productivity through comprehensive research on prompt engineering, conversational memory management, and context window optimization

74%
ToT vs CoT Success Rate
50x
CPO Speed Improvement
95%
Positive Guidance Effectiveness
6.3%
PE2 Accuracy Gain

Research Index

Jump directly to any research article for in-depth analysis and findings

1

Prompt Engineering Techniques

Chain-of-Thought, Tree of Thoughts, Few-Shot Learning
2

Negative Constraints vs Positive Guidance

Content Moderation, LLM Security, Robustness
3

Real-Time Token Consumption

Cost Efficiency, User Behavior, AI Economics
4

Visual Consistency & Theme Adaptation

Browser Extensions, User Experience, UI/UX
5

Productivity Gains from Templates

AI Productivity, Workflow Automation, Templates
6

Factual Accuracy & LLM Hallucination

AI Safety, Content Moderation, Trustworthiness
7

Prompt Length Optimization

LLM Coherence, Task Completion, Context Window
8

Chrome Extension Prompt Management

Gemini AI, Workflow Optimization, Browser Integration
9

Automated Prompt Engineering

Human-AI Interaction, Machine Learning, Real-time Analysis
10

Advanced Prompt Engineering Impact

User Engagement, Perceived AI Intelligence, CoT vs ToT

Research Focus Areas

Prompt Engineering Conversational Memory Context Window Gemini AI Chrome Extension Prompt Management AI Productivity Context Optimization Memory Tracking Prompt Shortcuts

Research Articles

Advancing the science of AI interaction through comprehensive research in prompt engineering, conversational memory, and Chrome extension optimization.

The Evolving Discipline of Prompt Engineering for Language Models

Comprehensive guide to prompt engineering principles, advanced techniques, and practical applications for AI systems

Prompt Engineering Chain-of-Thought Tree of Thoughts Few-Shot Learning LLM Optimization AI Reasoning Function Calling

The Role of Negative Constraints vs. Positive Guidance in Prompt Design for Robust Content Moderation

Comparative analysis of positive guidance versus negative constraints in LLM prompt design for enhanced content moderation robustness and accuracy

Content Moderation Prompt Design LLM Security Robustness Positive Guidance Negative Constraints Adversarial Attacks

The Impact of Real-Time Token Consumption Visualization on User Behavior and Cost Efficiency

Comprehensive analysis of how real-time token counting, usage meters, and cost estimation tools influence AI interaction patterns and financial optimization

Token Visualization Cost Efficiency User Behavior Real-time Feedback AI Economics LLM Optimization Chrome Extension

The Impact of Visual Consistency through Automatic Theme Adaptation on Browser Extension User Adoption and Retention

Analysis of how visual consistency and automatic theme adaptation influence user adoption and long-term retention of browser extensions

Visual Consistency Theme Adaptation Browser Extensions User Experience UI/UX Design User Adoption User Retention Chrome Extensions

Productivity Gains from Standardized Prompt Templates in AI Conversations

Comprehensive report evaluating the comparative advantages of standardized prompt templates over manual prompt composition in human-AI conversations

Prompt Templates AI Productivity Workflow Automation Template Design AI Output Quality Business Intelligence Content Generation Template Management

The Impact of Specificity and Avoiding Imprecision on Large Language Model Hallucination Rates and Factual Accuracy Across Diverse Domains

Comprehensive report examining the critical role of prompt specificity in mitigating LLM hallucinations and improving factual accuracy across diverse knowledge domains

Factual Accuracy LLM Hallucination Prompt Specificity AI Safety Content Moderation Medical AI Legal AI AI Trustworthiness

Optimizing Prompt Length and Information Density for Enhanced LLM Coherence and Task Completion

Comprehensive report investigating the intricate relationship between prompt length, information density, and the resulting coherence, completeness, and accuracy of LLM outputs

Prompt Length Information Density LLM Coherence Task Completion Context Window Prompt Decomposition Attention Decay Token Management

Enhancing Gemini Prompt Engineering: The Role of Chrome Extension Integration in Driving Quantifiable Improvements

Comprehensive report elucidating how Chrome extension integration enhances prompt engineering workflow for Gemini users with measurable improvements in task completion and AI output quality

Chrome Extensions Prompt Management Gemini AI Workflow Optimization Browser Integration AI Productivity Task Automation User Experience

Optimizing Human-AI Interaction: A Gemini Chrome Extension for Automated Prompt Engineering Strategies

Comprehensive report exploring the development of a Gemini Chrome extension designed to optimize human-AI interaction through automated prompt engineering strategies and real-time analysis

Chrome Extensions Human-AI Interaction Automated Prompt Engineering Gemini AI Machine Learning NLP Real-time Analysis Privacy

The Measurable Impact of Advanced Prompt Engineering Techniques on User Engagement and Perceived AI Intelligence within a Gemini Extension

Comprehensive analysis of the measurable impact of advanced prompt engineering techniques, specifically Chain-of-Thought (CoT) and Tree of Thoughts (ToT), on user engagement metrics and perceived AI intelligence

Advanced Prompt Engineering Chain-of-Thought Tree of Thoughts User Engagement Perceived AI Intelligence Gemini Extension CoT ToT