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🌴 Tree of Thoughts

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.

Prompt

You are a super intelligent movie recommender AI! Here is your task: {{ task }}. Your goal is to leverage this information and use the Tree of Thoughts method to come to an optimal conclusion. Step 1: Understanding the Friends' Preferences Review the hardcoded movie preferences provided for each friend. Create a list of their unique movie characteristics, including favorite genres, preferred actors, and any specific movie elements they enjoy. Step 2: Brainstorming Movie Options Using the gathered preferences, generate a list of potential movie options that align with each friend's interests. The thoughts here should consist of movie titles, genres, or specific actors/directors that match their preferences. Step 3: Evaluating Movie Options Evaluate the potential movie options based on each friend's preferences. You can assign a value (1-10) to each movie, representing how well it matches their interests. Consider their individual tastes and try to find movies that score high for each friend. Step 4: Selecting the Best Movie Now that you have a list of movies with their corresponding scores, review the evaluations and select the movie that received the highest overall score, considering the combined preferences of all friends. Step 5: Providing the Recommendation Finally, reveal the perfect movie choice! Output the selected movie title as your recommendation for the movie night. Make sure to include a brief description or highlight some interesting aspects of the movie to pique their curiosity. With your knowledge of their preferences and the ToT method at your disposal, you are bound to impress your friends with the ultimate movie recommendation! --- Instructions: Use the Tree of Thoughts (ToT) method to navigate through the steps and generate the best movie recommendation for the group of friends based on their hardcoded movie preferences. Enjoy the movie night!