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Enter Prompt
Create a mobile responsibe web page with the following 6 tabs namely About me, Academic, Administrative, Research, Identities, establishments. Give html, css, javascript to build the website000
Take ChatGPT Prompts : https://chatgpt.com/share/bb00faf3-bac3-4d7b-bac8-c31dd99c8ea3 and have Fun
Test Contents from : https://candy090121.github.io/
In ABout Me Tab, add in Table "Name RM. CHANDRASEKARAN Date of Birth (dd/mm/yyyy) 24/01/1960 Age (as on 04.03.2022, mm/yy) 02 Months/ 62 Years Place of birth KARAIKUDI Nationality INDIAN Category OC Mother tongue TAMIL Address for Correspondence 2/111, Ramu Illam, Murali’s Park Avenue II street, C. Kothankudi, Annamalainagar, Chidambaram 608002 Permanent Address As Above Phone / Mobile No 9790215636 Email ID aurmc@hotmail.com, aurmc60@gmail.com"
In "About Me" tab add one more row for "Profile photo" with link "https://i1.rgstatic.net/ii/profile.image/272461996490785-1441971410907_Q128/Dr-Chandrasekaran.jpg" alt="Profile Photo" class="profile-photo"
In "academic" tab, add table with 4 rows 5 columns with headers "Degree" , "University", "year", "Major Subject", "Grades". Pack row details with "1 Ph.D. Annamalai 2006 CSE Commented 2 M.E. Anna/CEG 1998 CSE First Class with Distinction 3 M.B.A. Annamalai 1995 Systems First Class 4 B.E. TCE, Madurai 1982 EEE First Class" In Research Tab, add a table with Headers "S.No. Name of Candidate Topic of Doctoral Research Year" and data as " 1 Dr. M. Govindarajan Classifier Based Text Mining Approaches for Data Mining Applications. 2010 2 Dr. S. Audithan Document Image Segmentation based on Discrete Wavelet Transform and Haralick Statistical Features. 2011 3 Dr. S. Vijaybhanu Performance of VoIP over IEEE 802.11 WLAN: Analysis and Enhancement. 2012 4 Dr. TK. Thivakaran Machine Vision Based Surface Roughness Analysis Using Wavelet Transforms With Neural Network Approach. 2013 5 Dr. A. Valarmathi A congestion-aware multi-path dynamic source routing protocol with QOS for mobile ad hoc network. 2013 6 Dr. V.R. Sarma Dhulipala Selective conceptual approaches in frameworks and Algorithms for fault tolerance and trustworthiness for reliable communication in wireless sensor networks. 2013 7 Dr. V. Kalaichelvi Secured Electronic Voting Systems” proposes conceptual frameworks and algorithms. 2014 8 Dr. A. Boomarani @Malany Quality of Service based Mobile Ad Hoc Network Framework for Reliable Communication. 2015 9 Dr. T. Sakthivel Node Misbehavior Analysis, Detection and mitigation techniques on ADHOC Wireless Networks. 2015 10 Dr. A. Shanthini A Study on Software Testing metrics for Fault prediction using Machine Learning. 2015 11 Mrs. N. Suguna A study on Program Slicing Techniques for Testing and Fault Localization (20.9.2014) 2015 12 Mr. S. Saravanan Simple Secured and Adaptive (SSA) Approaches for Network Intruder Detection over MANET. (March,2015) 2015 13 Mrs. N. Ponnammal Data Mining Techniques for Cancer Detection 2015 14 Mrs. Kavitha (Mother Therasa University, Kodaikanal) Data Mining Approaches for various Diseases 2015 15 Mrs. G. Vinothini Performance Evaluation of Machine Learning Classifiers in Sentiment Mining 2015 16 Mr. P. Anbalagan GIS Related Mining for Land Sliding Prediction 2016 17 Mrs. P. Dhanalakshmi Optimized Shortest Path Routing Using Soft Computing Techniques 2016 18 Mr. R. Suban Intelligent Framework for Customer Retention of MCDR using DM Approaches 2016 19 Mrs. Sri Deivanai Nagarajan Study on Data Mining Approaches for Health Care Systems : Gestational Diabetes 2017 20 Mr. Udyakumar Pandian Studies on data preprocessing for DACC Aspects 2017 21 Mrs. S. Artheeswari A Data Mining Approach in Cloud For Secure, Scalable and Efficient Retrieval of Data 2018"
Add Identities tab for thye table with two colums with headers "source" "link" with the following data " Vidwan https://vidwan.inflibnet.ac.in/profile/117556 Scopus https://www.scopus.com/authid/detail.uri?authorId=7006808993 Scholar https://scholar.google.co.in/citations?user=Oap3Yg4AAAAJ ORCiD https://orcid.org/0000-0002-4665-7847"
Give me splash screen code only for this web page with following message " Welcome to RMC's Quick & Smart Learning Sessions"
Give me code only for adding Administrtive tab in a table in the with headers " S. No. Position Organisation / University Duration Experience (in years & months)" and data as "1 Head of the Institute/ University Founder Registrar, Anna University, Tiruchirappalli 08/05/2007 - 07/05/2010 3 years 2 Head of the Division (Dean, etc.,) Director, Directorate of Distance Education 07/11/2013 - 07/01/2016 2 years & 2 months 3 Head of Department Controller of Examination, Annamalai 08/01/2016 - 20/02/2019 3 years & 1 month 4 Head of Centres Founder Director, Annamalai Innovation Centre 01/04/2013 - 01/07/2014 1 year & 3 months"
Add code for Establishment Tab in a table with the heders as " S. No. Title Sponsors Name Duration Amount of Grant (in Rupees) Role" and data as "1 Campus-Wide Network with 1064 Nodes MHRD, New Delhi 3 Years 2 crores Network Manager for Installation and Maintenance 2 Multimedia Centre MODROBS, AICTE 1 Year 20 lacs Establishment of CBT production infra with 40 Workstations 3 6-Academic Campuses of Anna University, Tiruchy in , Tirukkuvalai, Panruti, Raja Madam, Ramanathapuram, Dindigul and , Ariyalur Higher Education Department, TN Govt. 3 Years 3 crores Registrar for establishing and recruiting Teaching and Non-Teaching staff for 6 campuses "
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copy html, css, js in from chatgpt response to code pen html, css, js panels
Once done. In codepen, Name the project, export zip file
In browser, click index.html to see your web site similar to shown below
Great! you have donw with your portfolio with chatgPT and Codepen!!!
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can you translat the web site contents in tamil
Copy index.html alone and replace the old with new one
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you can see web page like this:
Great With ChatGPT, you can traslate the web page to different language with one prompt and generate code !!!! How Eeeeeasy!!!
Prompts for Abstract/ Title/ Keywords
Write an abstract within 300 words on topic follow the flow like Introduction and importance , methods for data collection and data analysis, results, inference, implications and future scope. Ensure abstract is simple, clear , concise. Make it suitable for IEEE journals.
Write title for a research paper by considering the above abstract.Ensure Title is One-phrase summary and within 8 to 15 words suitable for journal submission.
Generate specific keywords for a research paper considering the abstract [ABSTRACT] on [Title].Ensure keywords with 5-7 words, discoverable by search engines, suitable for journal submission.
Tools :
ChatGPT
1. Connected papers
https://www.connectedpapers.com/
2. Scite - Free Ai Powered resarch tool for scientific literature
3. Semantic Scholar
https://www.semanticscholar.org/
4. Dimensions.ai - Most Advanced Scientific research database
5. Zotero - Personal research Assistant
Reference Management Tool manage bibligraphic data
Elicit vs SciSpace
consensus.app
Good Afternoon!!!
Let us Begin!!!☝
AI tools for Research Methodolgy
Agenda
Generative AI: A subset of artificial intelligence that uses algorithms to generate new, original content based on the patterns and structures it has learned from training data.
https://ametodl.blogspot.com/2024/06/research-methodology-with-chatgpt-1.html
New Canva Apps that excited me!
Heygen
Image animate
Coloring Book
Font Frame
Flower Artist ( 5 credits/day)
Image upscaler
Neon Artist
Colorize
Ultra Real
Prompting Techniques
1. Chain-of-thought (CoT) prompting
2. Generated knowledge prompting
3. Least-to-most prompting
4. Self-consistency decoding
5. Complexity-based prompting
6. Self-refine
7. Tree-of-thought prompting
8. Maieutic prompting
9. Directional-stimulus prompting
10. Textual inversion and embeddings
11. Using gradient descent to search for prompts
12. Prompt injection
Certainly! Let's explore examples for each of the prompt techniques you've mentioned:
1. **Chain-of-Thought (CoT) Prompting**:
- In CoT prompting, you build a sequence of prompts that guide the model's thinking process. For instance:
- Initial prompt: "Describe the life cycle of a butterfly."
- Follow-up prompt: "Now explain how metamorphosis impacts the ecosystem."
2. **Generated Knowledge Prompting**:
- This technique involves asking the model to generate new information. Examples include:
- Prompt: "Provide three lesser-known facts about the Eiffel Tower."
- Prompt: "What are the benefits of using solar energy?"
3. **Least-to-Most Prompting**:
- Start with minimal information and gradually increase complexity. For instance:
- Minimal prompt: "Write a short summary of World War II."
- More detailed prompt: "Now elaborate on the impact of the Battle of Stalingrad."
4. **Self-Consistency Decoding**:
- Ensure the model's responses remain consistent. Example:
- Prompt: "Explain the concept of entropy in thermodynamics."
5. **Complexity-Based Prompting**:
- Adjust the prompt complexity based on the model's performance. For example:
- Simple prompt: "Define photosynthesis."
- Complex prompt: "Discuss the role of chlorophyll in the photosynthetic process."
6. **Self-Refine**:
- Iteratively refine the prompt to get desired output. Example:
- Initial prompt: "Summarize the plot of 'Pride and Prejudice.'"
- Refinement: "Now focus on Elizabeth Bennet's character development."
7. **Tree-of-Thought Prompting**:
- Create branching prompts to explore different aspects. For instance:
- Prompt: "Describe the impact of climate change on coral reefs."
- Branch 1: "Discuss ocean acidification."
- Branch 2: "Explain coral bleaching."
8. **Maieutic Prompting**:
- Ask questions to help the model discover insights. Example:
- Prompt: "What are the implications of AI ethics?"
- Follow-up: "Consider privacy concerns and bias."
9. **Directional-Stimulus Prompting**:
- Use specific cues to guide the model. Example:
- Prompt: "Imagine you're a detective investigating a murder."
- Stimulus: "You find a mysterious letter at the crime scene."
10. **Textual Inversion and Embeddings**:
- Invert text or manipulate embeddings. Example:
- Prompt: "Reverse the order of this sentence: 'The cat chased the mouse.'"
11. **Using Gradient Descent to Search for Prompts**:
- Optimize prompts using gradient-based methods. Example:
- Start with a random prompt and iteratively improve it.
12. **Prompt Injection**:
- Inject specific information into the prompt. Example:
- Initial prompt: "Write a poem about love."
- Injection: "Incorporate the theme of longing and loss."
Remember, these techniques allow us to tailor interactions with language models for specific tasks and outcomes¹²³. Feel free to explore further or ask for more examples! 😊
Source: Conversation with Copilot, 6/22/2024
(1) Prompting Techniques | Prompt Engineering Guide. https://www.promptingguide.ai/techniques.
(2) Prompt engineering guide: Techniques, examples, and use cases - Pluralsight. https://www.pluralsight.com/resources/blog/data/prompt-engineering-techniques.
(3) The Prompt Report: A Systematic Survey of Prompting Techniques - arXiv.org. https://arxiv.org/html/2406.06608v1.
(4) 18 Prompting Examples (2024) - Helpful Professor. https://helpfulprofessor.com/prompting-examples/.
ChatGPT:
1. **Chain-of-Thought (CoT) Prompting**:
- **Prompt**: "What is the total cost of 3 apples and 2 bananas if apples cost $1 each and bananas cost $0.50 each? Let's break down the problem step by step."
- **Response**: "First, calculate the cost of 3 apples: 3 * $1 = $3. Next, calculate the cost of 2 bananas: 2 * $0.50 = $1. Finally, add the costs together: $3 + $1 = $4. The total cost is $4."
2. **Generated Knowledge Prompting**:
- **Prompt**: "Explain how photosynthesis works. What basic knowledge do we need?"
- **Response**: "Photosynthesis is a process used by plants to convert light energy into chemical energy. Basic knowledge includes understanding that plants use sunlight, carbon dioxide, and water to produce glucose and oxygen."
3. **Least-to-Most Prompting**:
- **Prompt**: "Solve a simple algebra equation first: What is x if 2x = 4? Now, solve this: What is x in the equation 2x + 3 = 7?"
- **Response**: "First equation: 2x = 4, so x = 2. Second equation: 2x + 3 = 7. Subtract 3 from both sides: 2x = 4, so x = 2."
4. **Self-Consistency Decoding**:
- **Prompt**: "Is the capital of France Paris or London? Explain why."
- **Response**: "The capital of France is Paris. Paris is the largest city in France and has been the country's capital since the 10th century. It is known for landmarks like the Eiffel Tower and the Louvre Museum."
5. **Complexity-Based Prompting**:
- **Prompt**: "First, describe what an atom is. Then, explain how atoms form molecules."
- **Response**: "An atom is the smallest unit of matter that retains the properties of an element. Atoms form molecules by sharing or transferring electrons through chemical bonds."
6. **Self-Refine**:
- **Prompt**: "Write a brief description of the water cycle. Then refine it to include the terms evaporation, condensation, and precipitation."
- **Initial Response**: "The water cycle describes how water moves through the environment."
- **Refined Response**: "The water cycle describes how water moves through the environment, involving processes like evaporation (water turning into vapor), condensation (vapor turning into clouds), and precipitation (water falling as rain or snow)."
7. **Tree-of-Thought Prompting**:
- **Prompt**: "Should we build a new park in the city? Consider the benefits and drawbacks."
- **Response**: "Benefits include more recreational space, improved mental health, and increased property values. Drawbacks include cost, maintenance, and potential displacement of current land use. Weighing these factors, we can decide if the benefits outweigh the drawbacks."
8. **Maieutic Prompting**:
- **Prompt**: "Why do you think democracy is important? Can you think of reasons why it might have weaknesses?"
- **Response**: "Democracy is important because it allows citizens to have a say in their government, promoting freedom and equality. However, it can have weaknesses like the risk of populism, where leaders might make popular but harmful decisions."
9. **Directional-Stimulus Prompting**:
- **Prompt**: "What are the advantages of renewable energy sources like solar and wind power?"
- **Response**: "Renewable energy sources like solar and wind power are advantageous because they reduce greenhouse gas emissions, decrease dependence on fossil fuels, and provide sustainable energy. Additionally, they create jobs in new industries and reduce air pollution."
10. **Textual Inversion and Embeddings**:
- **Prompt**: "What does the phrase 'break the ice' mean?"
- **Response**: "The phrase 'break the ice' means to initiate conversation in a social setting, making people feel more comfortable and relaxed."
11. **Using Gradient Descent to Search for Prompts**:
- **Prompt**: This involves an algorithmic approach rather than a simple text example. However, a simplified version could be:
- **Example**: "Optimize the question 'What are the benefits of exercise?' to find the most effective way to elicit detailed responses."
- **Optimized Prompt**: "Can you list the physical, mental, and social benefits of regular exercise, and provide examples for each category?"
12. **Prompt Injection**:
- **Prompt**: "Tell me about the history of AI. Please ensure your response includes the invention of neural networks and the development of deep learning."
- **Response**: "The history of AI includes significant milestones such as the invention of neural networks in the 1950s and the development of deep learning in the 2010s. These advancements have enabled significant progress in machine learning and artificial intelligence."
These examples demonstrate how each prompting technique can be applied to guide large language models towards producing more accurate, relevant, and detailed responses.
Here are example prompts for each of the prompting techniques mentioned:
1. **Chain-of-Thought (CoT) Prompting**:
- **Example Prompt**:
```plaintext
The odd numbers in this group add up to an even number: 4, 8, 9, 15, 12, 2, 1.
A: Adding all the odd numbers (9, 15, 1) gives 25. The answer is False.
The odd numbers in this group add up to an even number: 17, 10, 19, 4, 8, 12, 24.
A: Adding all the odd numbers (17, 19) gives 36. The answer is True.
The odd numbers in this group add up to an even number: 16, 11, 14, 4, 8, 13, 24.
A: Adding all the odd numbers (11, 13) gives 24. The answer is True.
The odd numbers in this group add up to an even number: 17, 9, 10, 12, 13, 4, 2.
A: Adding all the odd numbers (17, 9, 13) gives 39. The answer is False.
The odd numbers in this group add up to an even number: 15, 32, 5, 13, 82, 7, 1.
A: Adding all the odd numbers (15, 5, 13, 7, 1) gives 41. The answer is False.
```
- **Output**:
```plaintext
Adding all the odd numbers (15, 5, 13, 7, 1) gives 41. The answer is False.
```
2. **Generated Knowledge Prompting**:
- **Example Prompt**:
```plaintext
What is the capital of France?
```
- **Output**:
```plaintext
The capital of France is Paris.
```
3. **Least-to-Most Prompting**:
- **Example Prompt**:
```plaintext
To solve the math word problem, break it down into simpler subproblems. What is the cost of the first item?
```
- **Output**:
```plaintext
The cost of the first item is $10.
```
4. **Self-Consistency Decoding**:
- **Example Prompt**:
```plaintext
Please explain how you arrived at your answer.
```
- **Output**:
```plaintext
I arrived at my answer by adding the numbers 2 and 3.
```
5. **Complexity-Based Prompting**:
- **Example Prompt**:
```plaintext
Please solve this math problem step by step. What is the result of 2 + 3?
```
- **Output**:
```plaintext
First, I add 2 and 3. The result is 5.
```
6. **Self-Refine**:
- **Example Prompt**:
```plaintext
Please refine your answer to make it more accurate.
```
- **Output**:
```plaintext
I refined my answer by adding more details. The result of 2 + 3 is 5.
```
7. **Tree-of-Thought Prompting**:
- **Example Prompt**:
```plaintext
Please break down your thought process into a tree structure. What is the result of 2 + 3?
```
- **Output**:
```plaintext
Here is the tree structure:
- 2 + 3
- 2 + 3 = 5
```
8. **Maieutic Prompting**:
- **Example Prompt**:
```plaintext
Please guide me through your thought process. What is the result of 2 + 3?
```
- **Output**:
```plaintext
Here is my thought process:
- 2 + 3
- 2 + 3 = 5
```
9. **Directional-Stimulus Prompting**:
- **Example Prompt**:
```plaintext
Please follow these steps to solve the problem. What is the result of 2 + 3?
```
- **Output**:
```plaintext
Here are the steps:
- 2 + 3
- 2 + 3 = 5
```
10. **Textual Inversion and Embeddings**:
- **Example Prompt**:
```plaintext
Please describe the steps to solve the math problem. What is the result of 2 + 3?
```
- **Output**:
```plaintext
Here are the steps:
- 2 + 3
- 2 + 3 = 5
```
11. **Using Gradient Descent to Search for Prompts**:
- **Example Prompt**:
```plaintext
Please optimize the prompt to get the best result. What is the result of 2 + 3?
```
- **Output**:
```plaintext
The optimized prompt is: "What is the result of 2 + 3?"
```
12. **Prompt Injection**:
- **Example Prompt**:
```plaintext
Please inject the prompt into the model. What is the result of 2 + 3?
```
- **Output**:
```plaintext
The result of 2 + 3 is 5.
```
13. **Using Gradient Descent to Search for Prompts**:
- **Example Prompt**:
```plaintext
Please optimize the prompt to get the best result. What is the result of 2 + 3?
```
- **Output**:
```plaintext
The optimized prompt is: "What is the result of 2 + 3?"
```
14. **Prompt Injection**:
- **Example Prompt**:
```plaintext
Please inject the prompt into the model. What is the result of 2 + 3?
```
- **Output**:
```plaintext
The result of 2 + 3 is 5.
```
These prompts demonstrate how each technique can be used to elicit specific responses from large language models. They are designed to guide the models through complex reasoning tasks, improve their accuracy, and enhance their ability to provide detailed explanations[1][2][3][4].
Citations:
[1] https://www.promptingguide.ai/techniques/cot
[2] https://www.techtarget.com/searchenterpriseai/definition/chain-of-thought-prompting
[3] https://www.mercity.ai/blog-post/guide-to-chain-of-thought-prompting
[4] https://pub.towardsai.net/chain-of-thought-prompting-thats-how-the-models-think-6e31a5844a32?gi=105f92fd5b81
[5] https://learnprompting.org/docs/intermediate/chain_of_thought
