What is the first step in using the LLM as a first pass?
Get the lay of land before pivoting to other sources
This involves understanding the initial output before consulting additional resources.
What should you ask for regarding the model’s capabilities?
A SWOT analysis of the model
This helps identify strengths, weaknesses, opportunities, and threats related to the model.
What is a good strategy to evaluate the LLM’s explanations?
Ask it to explain something in which you already have provable understanding
This allows you to assess accuracy and identify overstatements or errors.
True or false: LLMs can reliably self-validate.
FALSE
LLMs do not have metacognition and cannot check their own accuracy.
Before each session, what should you decide?
Whether it will be a learning session or a ‘just curious’ session
This helps focus the objectives of the session.
What should you write down before a session?
- What you think you already know
- Where your understanding breaks down
- What specifically you want to be able to do by the end
This provides a baseline and reduces passive adoption of the model’s framing.
What should you do after a session to reinforce learning?
- Close the chat
- Reconstruct key ideas in your own words
- Provide confidence scores for your responses
- Apply the knowledge in practical ways
- Write down anything you could not reproduce or solve
These steps help solidify understanding and identify gaps in knowledge.
What is the purpose of reopening the chat after a session?
Compare your notes and re-examine the list you wrote in the pre-session phase
This helps in assessing the effectiveness of the learning session.
What are the five steps to effectively learn a new concept?
- Ask the right questions
- Generate PICOS-style questions
- Generate glossary/domain language
- List domain-specific tools
- Request confidence scores for claims
These steps help in structuring the learning process and ensuring comprehensive understanding.
What should you do before asking for an explanation?
- Request confidence score for claims
- Ask for justification
This ensures that the information provided is reliable and well-supported.
What are some questions to ask after receiving an AI-generated explanation?
- What would happen if one important condition were removed?
- What evidence would falsify this explanation?
- What would I observe if this explanation were wrong?
- Under what conditions would this explanation fail?
- Where would I start to verify this explanation?
- Sort the parts of this explanation from most to least likely to be disputed
- Categorize each idea as directly supported, inferred, speculative, etc.
These questions help critically evaluate the explanation and its validity.
What are the ten strategies to avoid misinterpretation when learning a concept?
- What is it?
- What is it not?
- When does it apply?
- List edge cases and failure modes
- Three variations where one variable changes each time
- One near-miss example that looks similar but is different
- One incorrect version someone should diagnose and fix
These strategies help clarify understanding and differentiate between similar concepts.
What is the purpose of generating PICOS-style questions?
To structure inquiries into the concept being learned
PICOS stands for Population, Intervention, Comparison, Outcome, and Study design, which helps in formulating focused questions.
What should you do if you want to evaluate your work?
- Ask for assumptions made
- Identify logic errors
- Look for existing evidence that could challenge the results/process
This evaluation process helps ensure the accuracy and reliability of your conclusions.
What are the common misconceptions about learning new concepts?
- Relying solely on surface pattern matching
- Assuming understanding without critical evaluation
- Overlooking the importance of domain-specific tools
These misconceptions can hinder effective learning and comprehension.
What is the significance of domain-specific tools in learning?
They provide specialized resources and frameworks necessary for deeper understanding
Using the right tools can enhance the learning experience and facilitate practical application.
What is the first step in the framework for learning a new concept?
Use the LLM to help ask the right questions
This initial step sets the foundation for effective inquiry and exploration.
What is the role of confidence scores in learning?
To assess the reliability of claims made during the learning process
Confidence scores help learners gauge the strength of the information provided.
What should you do after generating glossary/domain language?
List domain-specific tools
This step ensures that learners have access to the necessary resources for understanding complex concepts.
In long conversations, the model can drift toward your framing, vocabulary, and assumptions. What should you periodically do to check for meaningful changes?
Restart and ask the same core question again
This helps to ensure that the answers remain consistent and relevant.
What are some ways to drive active engagement in conversations? List at least three.
- Give me 5 problems to solve without the answers
- Ask me questions and identify where my answer is incomplete
- Provide a partial derivation and let me finish it
These strategies encourage deeper interaction and critical thinking.
True or false: The chat can easily become an echo chamber.
TRUE
It is important to use the LLM as a tool to challenge assumptions and beliefs.
What should you ask the LLM to provide when trying to challenge your assumptions?
The strongest evidence-backed version of the other side’s argument
This helps verify whether the argument is fair and well-supported.
In FLYNN MODE, what is the primary goal?
Learn quickly enough to act while keeping the result clear, useful, and memorable
This mode focuses on fast orientation and practical application.
