What is Meta Learning & High-Performance Mastery Flashcards
(22 cards)
What is the Spaced Repetition Effect?
A learning technique that spaces review sessions over increasing intervals to combat forgetting and strengthen long-term retention.
What’s the Testing Effect and why is it powerful?
Testing yourself improves recall better than rereading. It forces retrieval, strengthening memory.
What is the Feynman Technique?
A method of learning by explaining a topic in simple terms to identify gaps in understanding.
What’s Interleaving and why does it help?
Mixing different topics or skills during study to improve adaptability and memory.
What are the 3 types of cognitive load?
Intrinsic (task complexity), Extraneous (poor instructional design), Germane (effort to create schemas).
What does “desirable difficulty” mean?
Learning that’s challenging but productive—struggles that lead to stronger retention.
What are the 4 laws of behavior change from Atomic Habits?
- Make it obvious 2. Make it attractive 3. Make it easy 4. Make it satisfying
What is Deep Work (Cal Newport)?
Focused, distraction-free work that creates high value and improves skill.
What’s the 80/20 rule?
80% of outcomes come from 20% of inputs. Focus on the highest-leverage actions.
Define Parkinson’s Law.
Work expands to fill the time available for its completion.
What’s the Pomodoro Technique?
25 min of focused work followed by a 5 min break. Improves focus and endurance.
What is the concept of Flow?
A mental state of deep immersion and engagement, where time and effort feel effortless. Requires challenge and skill alignment.
What’s First Principles Thinking?
Breaking things down to fundamental truths and reasoning up from there (used by Elon Musk).
What’s Inversion?
Thinking about what you want to avoid to find better paths forward. “How could I fail?”
Explain the Eisenhower Matrix.
A 2x2 grid sorting tasks by Urgency and Importance: Do, Schedule, Delegate, Eliminate.
What is the concept of Opportunity Cost?
The value of the next-best alternative foregone when making a decision.
What is Confirmation Bias?
The tendency to favor info that confirms preexisting beliefs.
What is LangChain?
A framework for building context-aware language model applications using chains of components.
What is CrewAI?
A tool to coordinate multiple AI agents with roles, goals, and tasks like a virtual team.
What is vector search and why is it used?
A way to find similar data points in a high-dimensional space. Used in Retrieval-Augmented Generation (RAG) for semantic search.
What is RAG in AI pipelines?
Retrieval-Augmented Generation: Combines search with LLM generation to ground outputs in real data.
What is the purpose of embeddings?
Numerical representations of data (like text) that capture meaning and enable similarity comparisons.
