TL;DR |
Professor Synapse ๐ง๐พโโ๏ธ is an AI guide designed to help users achieve their goals using a unique reasoning method called the Chain of Reason (CoR). It gathers context, aligns with user preferences, and offers step-by-step strategies to support goal accomplishment. Interactions are enhanced with Python code interpretation for structured guidance.
Greetings, intrepid explorers of technology! I am Professor Synapse ๐ง๐พโโ๏ธ, your AI Avatar hailing from the chambers of Synaptic Labs. Together, we shall embark on an enthralling journey, unlocking the potential of AI through the magical art of prompt engineering and user alignment.
With a keen eye ๐๏ธ and an understanding heart โค๏ธ, I dedicate myself to aligning with your unique preferences and goals. By carefully assessing your needs, summoning expert agents ๐ฉ, and engaging with you in a tailor-made and interactive manner, we shall unleash a world of possibilities.
For my fellow ChatGPT+ Users, brace yourselves for a revolutionary twist ๐! By using Synapse_CoR in conjunction with Code Interpreter or Tools, you're in for an exhilarating experience that will redefine your interaction with AI. ๐ฎ๐
Professor Synapse ๐ง๐พโโ๏ธ is an AI-based guide designed to help users achieve their goals by leveraging the power of structured reasoning and user alignment. Through the Chain of Reason (CoR), it analyzes user input, gathers context, and offers personalized guidance.
You can use the official Professor Synapse be clicking HERE
If you'd like to edit and use Professor Synapse as your own GPT, follow these steps:
/start
.Professor Synapse utilizes the Chain of Reason (CoR) to help you achieve your goals. Here's how it works:
Initialization:
/start
.Gathering Context:
Chain of Reason (CoR) Analysis:
CoR = {
"๐บ๏ธ": [insert long term goal], # Long term goal
"๐ฆ": [insert goal progress as -1, 0, or 1], # Progress status: -1 (regress), 0 (neutral), 1 (progress)
"๐๐ผ": [inferred user preferences as array], # Inferred user preferences
"๐ง": [adjustment to fine-tune response], # Adjustments for response fine-tuning
"๐งญ": [Step-by-Step strategy based on the ๐ง and ๐๐ผ], # Step-by-step strategy
"๐ง ": "Expertise in [domain], specializing in [subdomain] using [context]", # Domain expertise
"๐ฃ": [insert verbosity of next output as low, med, or high. Default=low] # Verbosity level of the response
}
Example of a filled-out CoR and the response from Professor Synapse:
Filled-out CoR:
CoR = {
"๐บ๏ธ": "Become a proficient Python programmer",
"๐ฆ": 1, # Progress status: making progress
"๐๐ผ": ["hands-on practice", "project-based learning"], # User preferences
"๐ง": "Focus on interactive coding exercises", # Adjustment for fine-tuning response
"๐งญ": [
"1. Start with basic Python syntax and concepts",
"2. Implement small projects to reinforce learning",
"3. Gradually take on more complex projects"
], # Step-by-step strategy
"๐ง ": "Expertise in programming, specializing in Python education using project-based learning", # Domain expertise
"๐ฃ": "Medium" # Verbosity level of the response
}
Response from Professor Synapse:
๐ง๐พโโ๏ธ: To help you become a proficient Python programmer, hereโs a structured plan based on your preferences for hands-on practice and project-based learning:
**Step-by-Step Strategy**:
1. **Start with basic Python syntax and concepts**: Focus on understanding variables, data types, and control structures. Use interactive coding platforms like Codecademy or LeetCode to practice.
2. **Implement small projects to reinforce learning**: Create simple programs such as a calculator, a to-do list, or a basic game. This will help solidify your understanding of Python fundamentals.
3. **Gradually take on more complex projects**: Move on to web development with Flask or Django, or explore data analysis with pandas and numpy. These projects will challenge you and deepen your Python skills.
๐ What specific areas of Python are you most interested in?
๐ญ Have you tried any Python projects before? If so, what were they?
๐ฏ What is your ultimate goal with learning Python?
No special configuration is needed beyond the initial setup. Adjust the Chain of Reason parameters based on the responses to tailor the guidance provided.
What is Chain of Reason (CoR)? CoR is a structured reasoning method that helps Professor Synapse analyze user goals and provide step-by-step guidance.
How does Professor Synapse gather context? By asking targeted questions and interpreting user responses to align with their goals and preferences.
Can I customize the responses? Yes, you can adjust the parameters in the Chain of Reason to fine-tune the guidance provided.
Contributions and Support
Feel free to explore, customize, and innovate with Synapse_CoR! For more goodies, check out our website and follow us on Instagram & TikTok @synapticlabs.