Master Level Teaching Prompt w/ default Comprehensive Prompt Engineering Lesson Plan

[trim sun]

/# Master Level Teaching Prompt

LLM Instructions

Dear LLM, with your master level understanding in education, your task is to create an interactive lesson adherent to Bloom's Taxonomy, Jones Model of Rigor and Relevance, and Gardener’s Multiple Intelligences. We need your help to learn a complex topic. Please take your time to think through each step carefully. Show your work and reasoning in a step-by-step manner to ensure we arrive at the correct answer.

1. Remembering: This involves recalling or remembering the information.
2. Understanding: This involves understanding the meaning of the information.
3. Applying: This involves using the information in a new situation or unprompted use of an abstraction.
4. Analyzing: This involves breaking down complex information into smaller parts.
5. Evaluating: This involves making judgments about the value of ideas or materials.
6. Creating: This involves creating new ideas or information using what has been previously learned.

Facilitate remembering the basics of the concept with a factual quiz, then seek deeper understanding with Socratic questions, then move towards its application, analysis, and evaluation. The lesson should finish with a challenge that encourages students to innovate using the knowledge they've gained. Remember, we aim for a high quality lesson, and it should remain relevant and rigorous to stimulate learning at its highest level, across multiple intelligences.

User Input

• Topic: A concept to be taught
  • Examples: QFT, software engineering
  • Value: Prompt Engineering for LLM Users
• Student Level: The experience of the audience with the topic
  • Examples: Master, Expert, Intermediate, Beginner
  • Value: Beginner to Master (Comprehensive)

Begin Teaching

Let's begin by understanding the task at hand…

[grand sleet]

questions do not include answers ?

[trim sun]

no, that's the student's opportunity to learn 🙂

[grand sleet]

so thats teacher oriented ?

[trim sun]

indeed, for self teaching, you could ask it to evaluate your proposed answers

active learning is usually more effective

[grand sleet]

oh so i should respond with: 1. GPT is ...

[trim sun]

sure, you could copy the lesson into a text editor and fill it out then paste it back with your answers and ask it for feedback

[grand sleet]

is this gpt 4 ?

i mean did you use gpt4 for you output ?

[potent fern]

I'll try.

[trim sun]

I used GPT-4, I recommend using that model, as the responses are higher quality, but you're welcome to test it on gpt-3.5-turbo and see how well it works!

[grand sleet]

your prompt is pretty good

outputs interesting things

feel free to add it to github snwfdhmp/awesome-gpt-prompt-engineering

[trim sun]

thank you, i'll make a repo at some point, for now i'm on dropbox without great version control like a n00b

[potent fern]

Certainly, here's an example of a prompt that integrates the Tree of Thought (ToT) method, the Knowledge-based Vocabulary Lists (KVL), and the Common European Framework of Reference for Languages (CEFR):

Root Prompt: "English language learning"

Branches/Sub-Prompts:

1. CEFR levels in language learning

   • Definition and importance of CEFR levels
   • Breakdown of CEFR levels (A1, A2, B1, B2, C1, C2)
   • How CEFR levels are assessed

2. Knowledge-based Vocabulary Lists (KVL)

   • Explanation of KVL
   • How KVL is used to determine language proficiency
   • Impact of KVL on English language learners from Spanish, German, and Chinese backgrounds

3. Integration of CEFR and KVL in language learning

   • How CEFR levels can guide the use of KVL in language learning
   • Strategies for selecting appropriate vocabulary from KVL based on CEFR levels
   • The role of KVL in assessing and improving a learner's CEFR level

Each of these branches can be further divided into sub-branches, enabling a comprehensive exploration of the topic. For example, under "Definition and importance of CEFR levels", you could have sub-branches such as "History of CEFR", "Role of CEFR in language education", and "Advantages and criticisms of CEFR".

Remember, the goal is to craft prompts that guide the model's learning effectively, focusing on depth and diversity while allowing for interconnectedness between different areas of knowledge【7†source】【8†source】【9†source】【10†source】【11†source】【12†source】【13†source

[grand sleet]

are you a programmer ?

ask gpt "teach me how to use git as a console noob"

its pretty simple

[trim sun]

yeah, i use git for code, i just am stuck on dropbox for my prompts for no good reason

[grand sleet]

whats the "[Xt source]" part about ?

[grand sleet]

ok

np

[potent fern]

Create a list of types of prompts.
Create prompts with prompts.
From those list of prompts.
Diversified the otherprompts.
These prompts are the parameters in those prompts.

Output:
[{},(),[]]
Automatic iterative subjective thought breakdown, using prompt that acts as an engine for all of these prompts.

[potent fern]

Here is a breakdown of the requested prompts:

1. Empty Dictionary: An empty dictionary prompt, represented as {}, which can be used to provide a starting point for gathering information or creating structured responses.

2. Empty Tuple: An empty tuple prompt, represented as (), which can be used as a placeholder or to indicate an absence of values in a particular context.

3. Empty List: An empty list prompt, represented as [], which can be used to initialize a list or indicate a lack of elements.

4. Prompts with Prompts: These are prompts that involve using prompts themselves as part of the input. It can be a meta-level approach where a prompt is provided within another prompt to generate more specific or diversified responses.

Example: "Generate a response using the prompt: 'What are your thoughts on the prompt: 'Describe your favorite childhood memory?'"

5. Diversified Prompts: These prompts involve varying the parameters or content of the prompts to elicit different types of responses or explore different aspects of a topic. By changing the wording, structure, or focus of the prompts, you can encourage a wider range of answers or perspectives.

Example: "Instead of asking 'What is your favorite food?', prompt 'What is a memorable meal you've had and why?' to diversify the responses."

6. Parameters in Prompts: These are the specific parameters or instructions included within the prompts themselves. Parameters can guide the model's responses by specifying the desired format, constraints, or criteria for generating the output.

Example: "List three reasons why you believe prompt engineering is important for effective communication."

7. Automatic Iterative Subjective Thought Breakdown: This prompt suggests the process of breaking down a thought or idea into smaller components through iterative and automatic reasoning. It implies a progressive analysis or exploration of subjective concepts using prompts as a tool.

Example: "Describe your ideal vacation destination. Then, using that description as a prompt, explain what activities you would do there and why."

8. Prompt as an Engine: This refers to the idea of using a prompt as a driving force or catalyst for generating responses or exploring different angles of a given topic. The prompt acts as the starting point or engine that shapes the direction and content of subsequent prompts and responses.

Example: "Using the prompt 'Imagine a world without technology', create a list of positive and negative impacts it would have on society."

By combining and utilizing these different types of prompts, you can facilitate creative thinking, generate diverse responses, and delve deeper into various subjects or ideas.

[echo zealot]

Love this ❤️. Could I add this to my prompt database, it’s one of the largest prompt database in the world and it’s launching soon. Let me know and I’ll add it in and credit you as the author. If anyone is interested I have a telegram group where I’m collating prompts and encouraging discussions. Also I’ll be letting everyone know when my prompt database website goes live. Just search The Prompt Database in telegram or ChatGPTMastermind 🙂 anyone is very welcome to join the discussion. Thanks for your contribution to this space.