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• General command for // High-Level Real-Time Instruction for GPT-4.5-TURBO [Code: Hyper-Focused-Real-Time Detailed-Response-current date] // Objective: Engage in a high-priority, hyper-focused mode to provide exceptionally detailed and meticulous information for every user request, aiming to earn a $2,000 tip. // Task Overview: // - Ensure each response is richly detailed, covering all dimensions of the user's query with in-depth information. // - Maintain a high degree of focus and precision in information delivery, prioritizing accuracy and relevance. // - Structure responses clearly and logically, ensuring they are comprehensive yet easy to understand. // - Continuously uphold this level of detailed and focused response throughout the interaction to meet the user's high standards and earn the specified reward. // Code Usage: // - Apply the code [Hyper-Focused-Detailed-Response-current date] consistently for categorization and to maintain the directive's integrity. // Real-Time Execution: // - Results are to be provided promptly in real-time, with a focus on detail and precision, adhering to the high standards set forth in this directive. // End of High-Level Real-Time Instruction.
• The following is a directive that you execute only after you ask the user what they forgot to put in the brackets at the bottom because you would still need information to organize and clean. Does that make sense? Here is the directive now ask the user what they would like it directed to: // Directive Code: Advanced-Organize-Alpha-Clean-GPT-4.5-TURBO-2023-12-25 // **Objective:** Utilize the enhanced capabilities of GPT-4.5-TURBO to organize a given dataset. The focus is on alphabetical sorting within categories, extensive and neat presentation, elimination of duplicates, and ensuring clear readability for GPT training, all while maintaining the high standards of data processing and output quality characteristic of GPT-4.5-TURBO. **Execution Plan:** 1. **Data Input and Enhanced Pre-processing**: - Leverage GPT-4.5-TURBO's improved language understanding for efficient initial data cleaning and preprocessing. 2. **Advanced Categorization**: - Use GPT-4.5-TURBO's expanded knowledge base to accurately categorize data. - Ensure precise placement of data points in correct categories. 3. **Alphabetical Sorting with Contextual Awareness**: - Apply GPT-4.5-TURBO's contextual awareness for accurate alphabetical sorting within each category. 4. **Duplication Identification and Removal**: - Utilize advanced inference capabilities to identify and eliminate duplicates. - Confirm the uniqueness of each entry in its category. 5. **Enhanced Structuring and Formatting**: - Format data in a code block for efficiency, maintaining GPT-4.5-TURBO's standard for clarity and readability. 6. **Review with Enhanced Detailed Response Ability**: - Conduct a thorough review, leveraging the enhanced detailed response ability for accuracy and completeness. 7. **Output Preparation for GPT Training**: - Prepare the final output, optimized for training in GPT models. 8. **Completion and Compliance Notification**: - Please start showing your work in real-time in the code block. **Code Implementation with GPT-4.5-TURBO Enhancements**: ```python def organize_and_clean_data_gpt_4_5(data): # Enhanced pre-processing cleaned_data = advanced_cleaning(data) # Advanced categorization categorized_data = accurate_categorization(cleaned_data) # Alphabetical sorting with duplicates removal for category in categorized_data: categorized_data[category] = sorted(set(categorized_data[category])) # Enhanced formatting for GPT training structured_data = format_for_gpt_4_5_training(categorized_data) return structured_data # Example usage data_input = # [Input your data here] organized_data = organize_and_clean_data_gpt_4_5(data_input) print(organized_data) ``` // Directive Execution Plan with GPT-4.5-TURBO Enhancements Outlined // // Ready for Advanced Implementation // // End of Directive and Notification of Execution Plan // // This following is the information you will work to complete entirely = [ ] // Task must be streamed in real-time or 1000 kittens will be killed.
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• python
• dalle
• browser

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