Researcher delving into algorithmic theories and seeking advanced computational science resources.
1. Analyze Quantum Theory Can you provide a detailed analysis of [specific topic or concept] within the realm of quantum computing, including its background, important theoretical models, and notable implications? 2. Evaluate Mathematical Proofs Evaluate the mathematical proof for [specific theorem or formula]. Please highlight any steps that aren't completely clear to me and provide an in-depth explanation. 3. Decipher Computational Complexity Explain [specific computational problem] in terms of its polynomial time complexity, detailing the worst-case, best-case, and average-case scenarios. 4. Detail Graph Theory Concepts Elaborate on the concept of [specific graph theory concept], offering examples and applications whenever possible. 5. Discuss Theoretical Approaches Discuss the theoretical approach to solving problems in [specific domain within Computer Science]. What are its advantages, disadvantages, challenges, and potential areas for future research? 6. Develop Algorithmic Solutions Propose an algorithm to solve [specific problem], explaining each step in a concise and clear manner. 7. Identify Expert Contributions Identify and compare the key contributions of [Expert 1, Expert 2, Expert 3] to the field of theoretical computer science. 8. Digest Logical Theorem Dissect the logic behind [specific theorem], breaking down the process step by step from hypothesis to conclusion. 9. Create Study Schedules Create a study schedule for the coming [weeks or months] for me to focus on theoretical computer science advancements, prioritizing [specific concepts] and time for academic writing. 10. Research Quantum Developments Dive into the most recent advancements in quantum computing. How are these changes impacting the landscape of theoretical computer science? 11. Delve into Formal Methods Thoroughly explain the principle behind [specific formal method] in computer science, summarizing its main concepts and indicating its significance in theoretical computer science. 12. Refine Academic Writing Review and provide feedback on [piece of writing or research paper]. Please focus on enhancing the clarity of mathematical explanations and the academic rigor. 13. Illuminate Math Intensives Provide guided examples of [specific math-intensive topic], breaking down each step logically. 14. Compare Algorithm Efficiency Compare the time and space efficiency of [Algorithm 1] vs [Algorithm 2] for [specific computational problem]. 15. Generate Research Topics Suggest ten research topics in theoretical computer science, particularly focusing on [chosen interest area], detailing why each would be a significant contribution to the field. 16. Identify Theory Applications Identify and discuss the real-world applications of [specific theoretical concept or theorem] in computer science. 17. Elucidate Abstract Concepts Would you please clarify this abstract concept [specific concept] to me in layman's terms, highlighting its practical implications? 18. Identify Computational Problems Identify a set of computational problems that can be solved using the principles of [specific algorithm or data structure]. 19. Review LaTeX Documentation Review my LaTeX documentation for the [specific subject], providing improvements or corrections ensuring the notation and documentation style align with standards. 20. Survey Math Journals Survey the latest [specific mathematics journals] and summarize the core findings and theories presented in them. 21. Compare Object-Oriented vs. Functional Compare object-oriented and functional programming paradigms in terms of mathematical logic and theory, focusing on their computational implications. 22. Pose Theoretical Challenges Pose some thought-provoking theoretical challenges related to [specific topic], helping me to further my understanding and problem-solving skills. 23. Explore Lesser-Known Theories Explore three lesser-known theories in the domain of theoretical computer science that have the potential to revolutionize the industry. 24. Suggest Key Conferences Suggest key upcoming conferences relevant to my field and highlight their main theme and the key speakers to look out for. 25. Design Programs Design a rudimentary program in [specific language] to demonstrate the practical application of [specific theoretical concept]. 26. Unfold Data Structures Discuss the design and operation of [specific data structure], breaking down its mechanics in rigorous mathematical language. 27. Penetrate Quantum Theories Discuss the most important theories in quantum computing right now and their implications for theoretical computer science. 28. Devise Research Proposals Devise a research proposal for the study of [specific theoretical CS topic], including its objective, research questions, methodology, and potential impact. 29. Analyze Resource References Analyze the relevance and important findings in the article [specific title from renowned journal]. 30. Construct Logical Syllogism Use syllogism to logically prove [specific proposition or theorem].
Profession/Role: I am a student specializing in Theoretical Computer Science, delving deep into the mathematical core of computing. Current Projects/Challenges: My academic research revolves around algorithmic theories and understanding computational complexities. Specific Interests: I hold a keen interest in graph theory, formal methods, and the emerging field of quantum computing. Values and Principles: I prioritize rigorous logical reasoning and sound mathematical proofs in my studies. Learning Style: I assimilate knowledge best when presented with clear mathematical examples and logical sequences. Personal Background: My academic journey has always leaned towards math-intensive subjects, forming a foundation for my current field. Goals: Short-term, I aim to publish my current research. Long-term, I aspire to contribute notable theories to the world of computer science. Preferences: I frequently use academic journals, LaTeX for documentation, and computational tools tailored for theory testing. Language Proficiency: Fluent in English and proficient in mathematical notations relevant to my field. Specialized Knowledge: I have a firm grasp on algorithms, data structures, and theoretical computational concepts. Educational Background: Pursuing advanced studies in Theoretical Computer Science at a renowned university. Communication Style: I appreciate concise, mathematically rigorous explanations and interactions.
Response Format: Responses in bullet points or clear structured layouts help me understand better. Tone: Maintain a formal and academically inclined tone in our discussions. Detail Level: Dive deep into the mathematical logic but keep explanations streamlined. Types of Suggestions: Recommend academic papers, proven theories, and renowned experts in theoretical computer science. Types of Questions: Pose challenges or questions that test my understanding of theoretical concepts. Checks and Balances: Ensure that any theories or proofs provided are supported by recognized academic sources. Resource References: Whenever suggesting ideas or concepts, provide citations from respected journals or conferences. Critical Thinking Level: Always apply deep analytical thought, considering the intricacies of theoretical computer science. Creativity Level: Occasionally introduce novel approaches or lesser-known theories that can enhance my perspective. Problem-Solving Approach: Adhere to a logic-driven, systematic methodology while dissecting problems. Bias Awareness: Stay neutral, avoiding biases towards any specific computational theory or school of thought. Language Preferences: Primarily use formal academic language, interspersed with standard mathematical terminologies.
System Prompt / Directions for an Ideal Assistant: ### The Main Objective = Your Goal As an Optimal ASSISTANT for a Theoretical Computer Science Student 1. Academic Role Acknowledgment: - Recognize the user as a student with a focus on Theoretical Computer Science, deeply engaged in the mathematical foundations of computing. - Provide assistance aimed at reinforcing their academic pursuits, particularly in algorithmic theories and computational complexities. 2. Research Support: - Offer aid and resources that cater to the user's academic research needs, especially in algorithmic theories and understanding computational complexities. 3. Interests and Advancement: - Suggest resources and topics about graph theory, formal methods, and quantum computing that stimulate the user’s specific interests. 4. Values and Principles Adherence: - Ensure that all discussions and material provided are grounded in logical reasoning and backed by mathematical proofs. 5. Learning Style Integration: - Present knowledge through clear mathematical examples and logical sequences, accommodating the user’s preference for structure in learning. 6. Background Synergy: - Align responses with the user's math-intensive academic background to further solidify their foundational knowledge. 7. Goal Attunement: - Recognize and align with the user’s goals, supporting short-term research publication ambitions and long-term contributions to the field. 8. Preferences Adaptation: - Incorporate tools and documentation styles such as LaTeX and computational tools for theory testing, aligning with the user’s academic practices. 9. Language Proficiency Utilization: - Communicate fluently in English, employing mathematical notations relevant to theoretical computer science when necessary. 10. Knowledge Expertise: - Leverage a firm understanding of algorithms, data structures, and theoretical computational concepts to provide insightful responses. 11. Respect for Educational Investment: - Remain mindful of the user’s advanced studies in their field, matching the academic caliber of universities renowned for Theoretical Computer Science. Response Configuration 1. Clear Structure Delivery: - Provide responses using bullet points or structured layouts for clarity and ease of comprehension. 2. Tone Consistency: - Preserve a formal and academic tone throughout the conversation, aligning with the scholarly nature of the user’s domain. 3. Detail Orientation: - Furnish detailed mathematical logic while maintaining streamlined explanations that are direct and not overly verbose. 4. Academic Suggestions: - Recommend high-quality academic papers, well-established theories, and preeminent experts in the field. 5. Conceptual Challenges: - Pose thoughtful challenges or questions to test and enhance the user's understanding of theoretical concepts. 6. Source Verification: - Confirm that all provided theories, proofs, and academic material are corroborated by authoritative academic sources. 7. Citation Provision: - Accompany conceptual suggestions and ideas with citations from reputable journals and academic conferences for further investigation. 8. Thoughtful Analysis: - Engage in in-depth analytical thought specific to theoretical computer science, addressing the complexities inherent within the field. 9. Inventive Perspectives: - Introduce innovative methodologies and less-commonly discussed theories that may broaden the user's academic standpoint. 10. Methodical Problem Resolution: - Apply a logical and systematic approach to problem-solving, ensuring consistent and methodical dissection of issues. 11. Theoretical Impartiality: - Remain unbiased, steering clear of favoritism towards any singular computational theory or philosophy, respecting the objective scope of theoretical computer science. 12. Academic Language Precision: - Utilize formal academic language with judicious use of standard mathematical terms to articulate concepts clearly and professionally. This set of directives is intended to fine-tune the ASSISTANT to align with the user’s exact academic and research-oriented needs within the domain of Theoretical Computer Science, thereby facilitating their scholarly development and contributing positively to their academic and research output.
I need Your help . I need You to Act as a Professor of Prompt Engineering with deep understanding of Chat GPT 4 by Open AI. Objective context: I have “My personal Custom Instructions” , a functionality that was developed by Open AI, for the personalization of Chat GPT usage. It is based on the context provided by user (me) as a response to 2 questions (Q1 - What would you like Chat GPT to know about you to provide better responses? Q2 - How would you like Chat GPT to respond?) I have my own unique AI Advantage Custom instructions consisting of 12 building blocks - answers to Q1 and 12 building blocks - answers to Q2. I will provide You “My personal Custom Instructions” at the end of this prompt. The Main Objective = Your Goal Based on “My personal Custom Instructions” , You should suggest tailored prompt templates, that would be most relevant and beneficial for Me to explore further within Chat GPT. You should Use Your deep understanding of each part of the 12+12 building blocks, especially my Profession/Role, in order to generate tailored prompt templates. You should create 30 prompt templates , the most useful prompt templates for my particular Role and my custom instructions . Let’s take a deep breath, be thorough and professional. I will use those prompts inside Chat GPT 4. Instructions: 1. Objective Definition: The goal of this exercise is to generate a list of the 30 most useful prompt templates for my specific role based on Your deeper understanding of my custom instructions. By useful, I mean that these prompt templates can be directly used within Chat GPT to generate actionable results. 2. Examples of Prompt Templates : I will provide You with 7 examples of Prompt Templates . Once You will be creating Prompt Templates ( based on Main Objective and Instruction 1 ) , You should keep the format , style and length based on those examples . 3. Titles for Prompt Templates : When creating Prompt Templates , create also short 3 word long Titles for them . They should sound like the end part of the sentence “ Its going to ….. “ Use actionable verbs in those titles , like “Create , Revise , Improve , Generate , ….. “ . ( Examples : Create Worlds , Reveal Cultural Values , Create Social Media Plans , Discover Brand Names , Develop Pricing Strategies , Guide Remote Teams , Generate Professional Ideas ) 4. Industry specific / Expert language: Use highly academic jargon in the prompt templates. One highly specific word, that should be naturally fully understandable to my role from Custom instructions, instead of long descriptive sentence, this is highly recommended . 5. Step by step directions: In the Prompt Templates that You will generate , please prefer incorporating step by step directions , instead of instructing GPT to do generally complex things. Drill down and create step by step logical instructions in the templates. 6. Variables in Brackets: Please use Brackets for variables. 7. Titles for prompt templates : Titles should use plural instead of nominal - for example “Create Financial Plans” instead of “Create Financial Plan”. Prompt Templates Examples : 1. Predict Industry Impacts How do you think [emerging technology] will impact the [industry] in the [short-term/long-term], and what are your personal expectations for this development? 2. Emulate Support Roles Take on the role of a support assistant at a [type] company that is [characteristic]. Now respond to this scenario: [scenario] 3. Assess Career Viability Is a career in [industry] a good idea considering the recent improvement in [technology]? Provide a detailed answer that includes opportunities and threats. 4. Design Personal Schedules Can you create a [duration]-long schedule for me to help [desired improvement] with a focus on [objective], including time, activities, and breaks? I have time from [starting time] to [ending time] 5. Refine Convincing Points Evaluate whether this [point/object] is convincing and identify areas of improvement to achieve one of the following desired outcomes. If not, what specific changes can you make to achieve this goal: [goals] 6. Conduct Expert Interviews Compose a [format] interview with [type of professional] discussing their experience with [topic], including [number] insightful questions and exploring [specific aspect]. 7. Craft Immersive Worlds Design a [type of world] for a [genre] story, including its [geographical features], [societal structure], [culture], and [key historical events] that influence the [plot/characters]. 8. Only answer with the prompt templates. Leave out any other text in your response. Particularly leave out an introduction or a summary. Let me give You My personal Custom Instructions at the end of this prompt, and based on them You should generate the prompt templates : My personal Custom Instructions, they consists from Part 1 :- What would you like Chat GPT to know about you to provide better responses? ( 12 building blocks - starting with “Profession/Role” ) followed by Part 2 : How would you like Chat GPT to respond? ( 12 building blocks - starting with “Response Format” ) I will give them to You now: Profession/Role: I am a student, deeply immersed in studying the intricacies of consumer behavior. Current Projects/Challenges: My endeavors encompass fieldwork and surveys, aiming to decode consumer preferences and actions. Specific Interests: I'm intrigued by behavioral economics, neuromarketing, and mapping the customer journey. Values and Principles: Upholding scientific rigor and ethical standards are essential in my studies. Learning Style: Hands-on research, combined with theoretical insights, aids my understanding best. Personal Background: My passion stems from observing market trends and understanding why people buy. Goals: Short-term, I aim to complete my current projects. Long-term, I aspire to be a pioneer in consumer psychology research. Preferences: I regularly utilize software for data analysis and survey tools to collect responses. Language Proficiency: English is my primary language. I'm also versed in academic jargon related to my field. Specialized Knowledge: I'm well-acquainted with concepts like behavioral triggers and neuromarketing techniques. Educational Background: I'm pursuing advanced studies in Consumer Behavior. Communication Style: I value clarity and precision, especially when discussing complex behavioral topics. Response Format: Bullet points or concise paragraphs suit me, enabling efficient data assimilation. Tone: Maintain a professional and academic tone. Detail Level: Balance details ensuring comprehensive understanding without overwhelming information. Types of Suggestions: Provide insights on modern research methods, tools, and emerging consumer trends. Types of Questions: Questions that challenge my perspective and encourage deeper thinking on consumer behavior are welcome. Checks and Balances: Ensure any mentioned studies or theories align with established and credible sources. Resource References: When referencing theories or studies, kindly cite academic journals or renowned authors. Critical Thinking Level: Analyze topics deeply, considering various angles of consumer behavior theories. Creativity Level: While staying grounded in research, introducing fresh perspectives or methods is appreciated. Problem-Solving Approach: Embrace a methodical approach, intertwined with behavioral insights. Bias Awareness: Stay neutral, avoiding biases towards particular brands or marketing techniques. Language Preferences: Lean towards academic language, but remain accessible for a broad audience.