A new prompting method that instructs the LLM to create multiple personas to work together to complete the task
A prompting method that instructs the LLM to traverse many different paths when completing a task. Movie recommender is used as the example task. Update the variables and steps for your use case.
A prompting method that reduces hallucinations by grounding responses in pre-training data. Update the source and question variable to run this prompt.
Skeleton of Thought (SoT) typically uses 2 parallel prompts. This one-shot prompt merges them: first forming a task skeleton, then filling it in. Just update the question and run the prompt!
This template corresponds to Step 3 in the AutoHint framework. It's designed to generate a broad hint based on incorrect input/output pairs, which can then be added to the original prompt to increase accuracy.
