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Advanced-level prompt examples

Some advanced-level prompt examples that require deeper understanding, critical thinking, and potentially specialized knowledge:

  1. Quantum Physics Explanation: Prompt: "Explain the concept of quantum entanglement and its implications for our understanding of particle behavior."

  2. Neural Network Architecture Design: Prompt: "Design a convolutional neural network architecture for image recognition, including details about layers, activation functions, and optimization strategies."

  3. Ethics in AI: Prompt: "Discuss the ethical considerations and potential biases involved in using AI algorithms for criminal justice sentencing."

  4. Financial Risk Assessment: Prompt: "Analyze the factors that contribute to systemic risk in the global financial market and propose strategies to mitigate its impact."

  5. Literary Deconstruction: Prompt: "Deconstruct the symbolism and allegorical elements in Franz Kafka's 'The Metamorphosis,' highlighting their contribution to the narrative."

  6. Advanced Data Analysis: Prompt: "Conduct a hierarchical cluster analysis on a dataset of consumer preferences, interpreting the results and identifying distinct market segments."

  7. Advanced Coding Problem: Prompt: "Implement a dynamic programming solution to find the longest common subsequence between two strings, considering both time and space complexity."

  8. Medical Research Hypothesis: Prompt: "Formulate a testable hypothesis for a clinical study investigating the potential link between a specific genetic marker and susceptibility to a rare autoimmune disease."

  9. Sociopolitical Analysis: Prompt: "Analyze the historical context, causes, and global implications of the Arab Spring movement in the Middle East, considering factors such as governance, economics, and social dynamics."

  10. Machine Learning Model Interpretation: Prompt: "Interpret the feature importance values of a trained random forest model for predicting customer churn in a telecommunications company, highlighting key insights."

  11. Advanced Linguistic Analysis: Prompt: "Analyze the syntactic structures and semantic nuances of a complex sentence from James Joyce's 'Ulysses,' exploring its contribution to the narrative style."

  12. Bioinformatics Challenge: Prompt: "Develop an algorithm for sequence alignment in bioinformatics, explaining the underlying principles and discussing its applications in genome analysis."

These advanced prompts delve into specialized fields, intricate concepts, and in-depth analysis. They require a high level of expertise and understanding, and the quality of responses may depend on the model's familiarity with the topic. Adaptation and refinement of prompts are essential to achieve accurate and insightful content.

Examples of advanced-level prompts:

  • Write a creative story that explores the relationship between humans and AI.
  • Create a new social media platform that promotes positive interactions between users.
  • Develop a new algorithm for machine translation that is more accurate and efficient.
  • Design a new type of self-driving car that is safer and more reliable.
  • Develop a new form of renewable energy that is more affordable and sustainable.
  • Come up with a new way to solve the climate crisis.
  • Create a new type of medicine that is more effective and less harmful.
  • Design a new way to educate children that is more engaging and effective.
  • Develop a new way to prevent crime that is more effective and less costly.
  • Come up with a new way to improve the quality of life for people with disabilities.

These are just a few examples, and there are many other possibilities. The key to writing an advanced-level prompt is to be creative and to think outside the box.

Some additional tips for writing advanced-level prompts:

  • Be specific and challenging. The more specific and challenging the prompt, the more likely the LM is to produce creative and original text.
  • Use keywords and concepts that are relevant to the topic.
  • Provide examples of the desired output. This will help the model to learn how to generate similar text.
  • Be patient. It may take some trial and error to find the right prompts for the task you are trying to accomplish.

 

Advanced-level prompt examples


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