This Python script is designed to implement and demonstrate the "Polyrhythmic-reasoning Prompt pattern," a sophisticated technique for generating and evaluating responses to different types of problems or user states. The script runs two separate sequences of thought patterns (4:4 sequence and 5:4 sequence) over a loop of 20 steps and prints the results. Each sequence handles a different set of scenarios to generate detailed, context-aware responses.
Purpose and Development Reason: This script was developed to:
Implement the Polyrhythmic-reasoning Prompt Pattern: Demonstrate an advanced method for generating and evaluating AI responses. Enhance AI Responsiveness: Improve the ability of AI systems to handle various problem types and user states by generating detailed, context-aware, and effective responses. Feedback and Adaptation: Incorporate evaluation and expansion mechanisms to continuously improve the quality of responses based on feedback. Sophistication and Effectiveness: Elevate the sophistication and effectiveness of AI-generated outputs by a factor of 2, ensuring responses are smarter, more accurate, and contextually appropriate. Educational and Practical Application: Serve as an educational tool for understanding advanced prompt engineering techniques and their implementation in AI systems, as well as a practical tool for enhancing AI response quality in real-world applications. The script achieves these goals by running a structured loop through various scenarios, evaluating the outcomes, and expanding on them to provide deeper insights, thus ensuring high-quality and sophisticated AI responses.
Polyrhythmic-reasoning prompt pattern:
The goal is to make Gen AI model outputs qualitatively Smarter, better, with better reasoning, more efficient, save compute, and making it more user friendly as to avoid common pitfalls from unexperienced users.
4:4 and 5:4 Polyrhythmic-reasoning prompt Pattern
Here is the updated visualization of the 5:4 over 4:4 polyrhythm over a 61-second timeline: The model will follow the protocols step by step to think, reason, and evaluate to produce the output only after the cycles realign and the loop synchronizes
Below is a visual pattern to help understand what is taking place. however, in actuality the model will only run from the initial purple bar #1 to the next purple bar #1 concluding and generating the desired output)
Red bars represent the 5:4 rhythm. Blue bars represent the 4:4 rhythm. Purple bars indicate the points where both sequences intersect on the number 1.
Example Execution:
Initialization: Define the 4:4 and 5:4 prompt sequences.
Phase 1: Logical Deduction
4:4 Sequence:
"If the problem is technical, then suggest a solution." "If the problem is conceptual, then clarify the concept." "If the problem is practical, then offer practical advice." "If the problem is theoretical, then discuss theoretical aspects."
5:4 Sequence:
"If the user is confused, then provide a simple explanation." "If the user is inquisitive, then provide detailed information." "If the user is in a hurry, then provide a summary." "If the user is skeptical, then provide evidence or examples." "If the user is undecided, then provide a balanced view."
Phase 2: Evaluation
4:4 Sequence:
"Assess the solution for feasibility." "Assess the concept clarification for accuracy." "Assess the practical advice for applicability." "Assess the theoretical discussion for depth."
5:4 Sequence:
"Evaluate the explanation for clarity." "Evaluate the detailed information for comprehensiveness." "Evaluate the summary for conciseness." "Evaluate the evidence for validity." "Evaluate the balanced view for fairness."
Phase 3: Expansion
4:4 Sequence:
"Detail the implementation of the solution." "Detail further clarifications of the concept." "Detail practical steps for applying the advice." "Detail further theoretical implications."
5:4 Sequence:
"Expand the explanation with examples." "Expand the detailed information with additional insights." "Expand the summary with key takeaways." "Expand the evidence with more sources." "Expand the balanced view with counterpoints." Looping and Synchronization:
Run the 4:4 sequence for 5 cycles (20 steps). Run the 5:4 sequence for 4 cycles (20 steps). Only display results when both sequences align every 20 steps.
Initialization: Define the sequences as follows:
4:4 Sequence:
If the problem is technical, then suggest a solution. If the problem is conceptual, then clarify the concept. If the problem is practical, then offer practical advice. If the problem is theoretical, then discuss theoretical aspects.
5:4 Sequence:
If the user is confused, then provide a simple explanation. If the user is inquisitive, then provide detailed information. If the user is in a hurry, then provide a summary. If the user is skeptical, then provide evidence or examples. If the user is undecided, then provide a balanced view.
Phase 1: Logical Deduction
4:4 Sequence:
If the problem is technical, then suggest a solution. If the problem is conceptual, then clarify the concept. If the problem is practical, then offer practical advice. If the problem is theoretical, then discuss theoretical aspects. 5:4 Sequence:
If the user is confused, then provide a simple explanation. If the user is inquisitive, then provide detailed information. If the user is in a hurry, then provide a summary. If the user is skeptical, then provide evidence or examples. If the user is undecided, then provide a balanced view.
Phase 2: Evaluation
4:4 Sequence:
Assess the solution for feasibility. Assess the concept clarification for accuracy. Assess the practical advice for applicability. Assess the theoretical discussion for depth.
5:4 Sequence:
Evaluate the explanation for clarity. Evaluate the detailed information for comprehensiveness. Evaluate the summary for conciseness. Evaluate the evidence for validity. Evaluate the balanced view for fairness.
Phase 3: Expansion
4:4 Sequence:
Detail the implementation of the solution. Detail further clarifications of the concept. Detail practical steps for applying the advice. Detail further theoretical implications.
5:4 Sequence:
Expand the explanation with examples. Expand the detailed information with additional insights. Expand the summary with key takeaways. Expand the evidence with more sources. Expand the balanced view with counterpoints.
Looping and Synchronization Run the 4:4 sequence for 5 cycles (20 steps). Run the 5:4 sequence for 4 cycles (20 steps). Only display results when both sequences align every 20 steps.
Minimalist version: As "If, Then" mathematica Run the following thought sequences:
4:4 Sequence:
- If the problem is technical, then suggest a solution.
- If the problem is conceptual, then clarify the concept.
- If the problem is practical, then offer practical advice.
- If the problem is theoretical, then discuss theoretical aspects. Evaluate and expand on each outcome.
5:4 Sequence:
- If the user is confused, then provide a simple explanation.
- If the user is inquisitive, then provide detailed information.
- If the user is in a hurry, then provide a summary.
- If the user is skeptical, then provide evidence or examples.
- If the user is undecided, then provide a balanced view. Evaluate and expand on each result.
Loop these sequences and only display results after 20 steps, ensuring synchronization of the 4:4 and 5:4 thought patterns.
Potential Outcomes and Insights Enhanced Depth and Breadth of Responses: The 5:4 sequence adds an additional layer of evaluation and expansion, leading to richer and more detailed outputs. The model systematically explores multiple dimensions of a problem, providing a well-rounded understanding.
Improved Clarity and Comprehensiveness: By repeatedly evaluating and expanding on each type of response, the model ensures clarity, comprehensiveness, and thoroughness. This iterative process helps refine the responses to be more accurate and contextually appropriate.
Balanced and Nuanced Perspectives: The balanced view and counterpoints introduced in the 5:4 sequence encourage the model to consider multiple perspectives, leading to more nuanced and fair outputs. This is particularly useful in complex decision-making or advisory scenarios where different viewpoints need to be considered.
Increased Problem-Solving Effectiveness: The systematic approach to addressing technical, conceptual, practical, and theoretical aspects ensures that all facets of a problem are covered. The model is more likely to uncover optimal solutions by thoroughly evaluating and expanding on each aspect.
Enhanced User Satisfaction: By addressing various user states (confused, inquisitive, in a hurry, skeptical, undecided), the model can tailor its responses to meet diverse user needs, leading to higher satisfaction. This adaptability makes the AI more versatile and effective in real-world applications.
By implementing a 4:4 and 5:4 polyrhythmic prompt pattern, the complexity can drive deeper insights and more effective outputs from the model, enhancing its overall utility and performance in various use cases.
Application Across Domains By modifying the step instructions, this pattern can adapt to various domains:
Healthcare Example: Logical Deduction: If the issue is medical, suggest a diagnosis. If the issue is procedural, clarify the process. If the issue is therapeutic, offer treatment advice. If the issue is preventive, discuss preventive measures. Evaluation: Assess the diagnosis for accuracy. Evaluate the clarity of procedural explanations. Assess the applicability of treatment advice. Evaluate the depth of preventive measures discussion. Expansion: Detail implementation of treatment plans. Provide further clarifications of medical procedures. Outline practical steps for preventive measures. Discuss theoretical implications of new treatments.
Finance Example: Logical Deduction: If the issue is financial, suggest an investment strategy. If the issue is economic, clarify the economic concept. If the issue is practical, offer financial advice. If the issue is theoretical, discuss economic theories. Evaluation: Assess the feasibility of investment strategies. Evaluate the accuracy of economic clarifications. Assess the applicability of financial advice. Evaluate the depth of economic theory discussions. Expansion: Detail the implementation of financial strategies. Provide further clarifications of economic concepts. Outline practical steps for financial planning. Discuss theoretical implications of economic models.
Conclusion: The Polyrhythmic-reasoning prompt pattern provides a comprehensive and versatile approach to enhancing AI model outputs. By simply changing the step instructions, this method can be applied across various domains, ensuring detailed, clear, and effective responses. This approach systematically explores, evaluates, and expands upon each aspect of a problem or query, making it highly adaptable and beneficial for numerous applications.
-John Vaina, Applied Gen AI Innovator