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🤖 GPT

Tree Of Thoughts Improvement

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✨Deep ToT or Deep Tree of Thoughts is improvement to the classic Tree of Thoughts (ToT) algorithm, adding new depth of thought and focus parameters: Depth offers levels from a high-level summary to detailed analysis; focus allows targeting specific areas. Customised deep ToT process enables users to select detail and relevance in brainstorming, evaluating, expanding and ranking solutions. Deep ToT is suitable for education, research, problem-solving and other decision contexts.✨
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Updated: Over 1 month ago

Prompt Details

Model
Chat - GPT-4 (gpt-4)
Token size
636 ($0.01910 / call)
Example input
Problem statement: A small business wants to determine the best marketing strategy to increase online sales. Depth: Intermediate, Level 2 Focus: None
Example output
Certainly! Let's begin implementing the Deep Tree of Thoughts (ToT) algorithm to help the small business determine the best marketing strategy to increase online sales. ### Step 1: Initialization Problem Statement: "A small business wants to determine the best marketing strategy to increase online sales." ### Step 2: Set Depth Please select the desired depth level for our exploration: - Shallow Depth (high-level overview) - Intermediate Depth (gradient levels) - Level 1 (main ideas with some details) - Level 2 (thorough exploration with examples) - Level 3 (detailed exploration, connecting ideas) - Deep Depth (comprehensive and intricate exploration) ### Step 3: Set Focus If you wish, you can define specific focus areas within the marketing strategy that you would like to concentrate on, such as social media marketing, SEO, content marketing, etc. Please provide your preferences for the depth and focus parameters, and we'll continue to the next phase.
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