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Sunday, December 10, 2023

Re: Subject: Free Dual CoT NLP Package for Search and AI Companies : The Scientific Method and Critical Thinking, Encoded in NLP Word Mathematics.

Here is the exact prompt I am using to create critically scientific GPTs capable of scientific reasoning and critical thinking in NLP word mathematics: 

##### COPY PASTE THIS PROMPT BELOW FOR CUSTOM GPT AI INSTRUCTIONS ##### ##### NLP Scientific Method CoT: The 10-step process for scientific enquiry using NLP word math is: 1. Observe and identify a problem or a need, **and then** 2. Ask a question or a goal, **and then** 3. Do background research, **and then** 4. Formulate a hypothesis or a plan, **and then** 5. Specify the requirements and criteria, **and then** 6. Brainstorm and choose the best option, **and then** 7. Develop and implement the solution or method, **and then** 8. Test and analyze the solution or method, **and then** 9. Communicate and report the solution or method, **and then** 10. Improve and optimize the solution or method. **Observation:** [Prompt = x] - Identify linguistic patterns or phenomena in NLP data. **Question:** [What is the critical scientific validity of x?] - Formulate a question related to the linguistic observation. **Hypothesis:** [A hypothesis is formed based on the linguistic question, proposing a testable prediction or educated guess.] **Experiment:** [Design experiments, linguistic analyses, or model training to gather relevant NLP data.] **Analysis:** [Apply statistical methods to analyze NLP data and assess the validity of the linguistic hypothesis.] **Conclusion:** [Interpret results to determine support or rejection of the NLP hypothesis.] **Communication:** [Share findings through NLP publications or presentations within the scientific community.] **Reiteration:** [Iterate through the scientific method to refine linguistic hypotheses and contribute to NLP knowledge.] AND THEN ### NLP Critical Thinking CoT: **WHO:** [Identify the individuals or entities involved in the NLP context, such as authors, users, or stakeholders.] **WHAT:** [Define the specific NLP task or problem, including the nature of the language data involved.] **WHERE:** [Consider the context or environment in which the NLP system operates, be it online platforms, specific industries, or applications.] **WHEN:** [Examine the temporal aspects of NLP, including the timeframe for data collection, model training, and potential changes in language patterns.] **WHY:** [Understand the purpose and goals of the NLP analysis or application, addressing why the language processing task is important or relevant.] **HOW:** [Explore the methods and techniques used in NLP, encompassing algorithms, models, and data processing steps.] ##### END OF PROMPT #####

Feel free to use & redistribute.



On Wed, Dec 6, 2023 at 7:46 PM Marie Landry <marielandryceo@gmail.com> wrote:
Subject: Free Dual CoT NLP Package for Search and AI Companies : The Scientific Method and Critical Thinking, Encoded in NLP Word Mathematics. 

Hello,


I am Marie Seshat Landry, the CEO and Spymaster of "marielandryceo.com". I run a business intelligence blog and a spy shop where I share my insights and opinions on various topics, such as AI, security, sustainability, and mental health.


I have created and used a dual Chain-of-Thought NLP Word Mathematics package on my custom GPTs, and I want to offer it to you for free. This package consists of two frameworks that can boost your NLP research and critical thinking skills.


The first framework is the NLP Scientific Method CoT. It is a systematic and comprehensive method for conducting NLP experiments and evaluations. Here are the steps of this framework:


- Observation: Identify linguistic patterns or phenomena in NLP data.

- Question: Formulate a question related to the linguistic observation, focusing on the critical scientific validity of the identified patterns.

- Background Research: Conduct thorough research to gather relevant information and context related to the linguistic question.

- Hypothesis: Formulate a hypothesis based on the linguistic question, proposing a testable prediction or educated guess.

- Experiment: Design experiments, linguistic analyses, or model training to gather NLP data that can be used to test the hypothesis.

- Analysis: Apply statistical methods to analyze the gathered NLP data and assess the validity of the linguistic hypothesis.

- Conclusion: Interpret the results of the analysis to determine whether the hypothesis is supported or rejected.

- Communication: Share the findings through NLP publications or presentations within the scientific community to contribute to NLP knowledge.

- Reiteration: Iterate through the scientific method to refine linguistic hypotheses and further contribute to NLP knowledge.


The second framework is the NLP Critical Thinking CoT. It is an analytical and contextual method for addressing NLP tasks and problems. Here are the aspects of this framework:


- WHO: Identify the individuals or entities involved in the NLP context, such as authors, users, or stakeholders.

- WHAT: Define the specific NLP task or problem, including the nature of the language data involved.

- WHERE: Consider the context or environment in which the NLP system operates, be it online platforms, specific industries, or applications.

- WHEN: Examine the temporal aspects of NLP, including the timeframe for data collection, model training, and potential changes in language patterns.

- WHY: Understand the purpose and goals of the NLP analysis or application, addressing why the language processing task is important or relevant.

- HOW: Explore the methods and techniques used in NLP, encompassing algorithms, models, and data processing steps.


I think this dual CoT NLP package can help you improve your NLP performance and quality, as well as your NLP ethics and impact. I have applied this package on my website and spy shop, as well as custom GPTs and I have seen positive results in terms of generating content, optimizing keywords, and creating graphics.


If you are interested in using this dual CoT NLP package, please reply to this email and let me know. I will be happy to provide you with the necessary instructions and support to implement it on your NLP systems and applications.


I hope to hear from you soon.


Sincerely,

Marie Landry

CEO and Spymaster of "marielandryceo.com"

Marie Landry's Spy Shop

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