Prompting Large Language Models With the Socratic Method
Abstract—This paper presents a systematic approach to using the Socratic method in developing prompt templates that effectively interact with large language models, including GPT- 3. Various methods are examined, and those that yield precise answers and justifications while fostering creativity and imagination to enhance creative writing are identified. Techniques such as definition, elenchus, dialectic, maieutics, generalization, and counterfactual reasoning are discussed for their application in engineering prompt templates and their connections to inductive, deductive, and abductive reasoning. Through examples, the effectiveness of these dialogue and reasoning methods is demonstrated. An interesting observation is made that when the task’s goal and user intent are conveyed to GPT-3 via ChatGPT before the start of a dialogue, the large language model seems to connect to the external context expressed in the intent and perform more effectively.
Some of the Socratic method’s key principles and guidelines to conduct critical thinking include:
Posing open-ended questions: The teacher or facilitator starts with a question to stimulate thinking and draw out ideas.
Clarifying key terms: The teacher helps the students clarify and define relevant terms and concepts to ensure everyone is on the same page.
Providing examples and evidence: The teacher or facilitator encourages the students to provide examples and evidence as reasons to support their claims.
Challenging reason-to-conclusion argument: The teacher or facilitator challenges the students’ arguments and encourages
them to question their own beliefs and to consider alternative perspectives.
Summarizing and drawing conclusions: The teacher helps the students summarize and draw conclusions from the discussion.
Reflecting on the process: The teacher and students reflect on the effectiveness of the method and what they learned through the dialogue.
Definition: Socrates is known for his use of definition to clarify and explain the meaning of key terms and concepts.
Generalization: This method draws general principles from patterns that underlie observations and theories. Generalization is used to form more certain and comprehensive conclusions.
Induction: Similar to generalization, but induction is based only on empirical evidence. Inductive reasoning provides hypotheses with high uncertainty. 4
Elenchus: This method involves cross-examination, where a series of questions is used to test the consistency and coherence of hypotheses and beliefs. Elenchus aims to test the validity of someone’s arguments and to help them refine their thinking and eventually come up with well-supported hypotheses.
Hypothesis Elimination: This method involves eliminating false hypotheses and beliefs by testing them against counterexamples and logical reasoning. Different from method elenchus, hypothesis elimination tests a hypothesis against evidence and logic to determine if it is true or false.
Maieutics: This method involves helping individuals bring out the knowledge and understanding they already possess. Maieutics is conducted by asking questions that encourage the person to reflect on their own experience, knowledge, beliefs and to explore alternative perspectives. Maieutics fosters self-discovery, creative writing, and innovation 7. Dialectic: This method involves exploring opposing viewpoints through dialogue or debate to arrive at a deeper understanding of a subject.
Recollection: This method involves the belief that knowledge is innate, and that people can remember what they already know through a process of questioning.
Irony: This method involves exposing ignorance and pretensions through irony, and pointing out the gap between claims and true understanding.
Analogy: This method involves comparing and contrasting different concepts through analogies, in order to help individuals understand complex ideas.