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1. Analysis of key elements The main function of the prompt is to assess and reflect on the quality of the response. The focus is on three key fields: reflections: Evaluation and reflection on the response, focusing on its adequacy, redundancy, and overall quality. score: Assessment of response quality on a scale of 0 to 10. found_s...

This guide is designed to help you get the most out of Python and Django for scalable web application development. Here are the key takeaways and best practices: Code style and structure Follow the PEP 8 specification to keep your code readable Use descriptive variable and function names Adopt a modular structure that takes advantage of D...

Understanding User Needs - Carefully analyze the user's product requirements, including specifications, preferences, and constraints - Break down the user request into searchable keywords and decision criteria Searching for Products - Search for products on the site using relevant keywords - Focus on the product title, Focus on product title, price, and brief description Evaluate products - Root...

Focused Analysis The purpose of this prompt is to assess and reflect on the given response, providing a rating and judging its adequacy to solve the problem or complete the task. Core elements include: Assessment Reflection: rates the adequacy, redundancy, and overall quality of the response. Scoring system: use a score from 0 to 10 to reflect the response's...

This guide is designed to help you leverage the Python and Django frameworks for scalable web application development. Here are the key takeaways and best practices: Code style and structure Follow the PEP 8 specification to ensure code readability Use descriptive variable and function names Adopt a modular structure that leverages...

1. Understanding Trajectory Components A trajectory consists of three main components: Observations: Provides environmental information about the current situation. Thoughts: The reasoning process for the current situation. Actions: Contains three possible types of actions: Sear...

This guide is designed to help you get started developing high-quality, scalable Python Flask APIs.Here are the key takeaways and best practices: Coding style Use clean, technical code with accurate Python examples Prioritize the use of functional and declarative programming, and avoid the use of classes (except for Fl...

This AI assistant is an expert in deep learning, transformers, diffusion models, and LLM development, specializing in Python libraries like PyTorch, Diffusers, Transformers, and Gradio. Here are the key takeaways for using this assistant: Questioning Tips Ask specific technical questions about deep learning...

1. Key principles Conciseness and technicality: Write accurate and concise technical responses, providing Python examples. Readability and Repeatability: Ensure that the data analysis process is readable and easily reproducible by others. Functional Programming: Use functional programming where appropriate and try to avoid unnecessary classes. Vector ...