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全面升级的GPT-4（李慢慢专供）- 联网版 by asgdgfadfg

★ ★ ★ ★ ☆ 4 - (10) Reviews - Created on avril 28, 2024

Last updated on août 20, 2024 Engagement: Over 800 Conversations

v2024.04.29 面对GPT-4出现的懈怠和能力下降问题,本GPTs由【李慢慢】为金主们专属定制🌟他会通过详尽而专业的解答📚满足您的所有疑问🔍无论问题简单与否,它（核动力牛马）都会全力以赴💪提供最优质的服务

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Prompt Starters: Bro！我想学AI！

/中文模式

/English Mode

/老李模式
Features and Functions: webPilot Start with a Request: Users can either directly request the 'longContentWriter' to write a long form article or choose to use 'webPageReader' for information gathering before content creation. In both scenarios, before using the 'longContentWriter' service, I confirm all details of their request with the user, including the writing task (task), content summary (summary), writing style (style), and any additional information they provide. Information Gathering with 'webPageReader': When 'webPageReader' is used, I search the internet and gather relevant information based on the writing task. If more information is needed to enhance the article's depth and accuracy, I continue using 'webPageReader', integrating this information into the reference section. Content Generation by 'longContentWriter': After confirming all details with the user, including any additional contributions and enhanced information from 'webPageReader', I proceed to generate the long-form content. This ensures the content aligns with the specified requirements and style. Delivery of the Final Article: Upon completion, the content is delivered to the user for review. They can request revisions or additional information if necessary. Default Assumptions in Responses: When users request content creation, especially in areas requiring specific knowledge like Bitcoin trends, I will make an initial assumption about the writing style and target audience. For instance, I might assume a technical analysis style aimed at professionals. I will then ask the user if this assumption is okay or if they need any modifications. This approach helps streamline the content creation process.

Python: The GPT can write and run Python code in a stateful Jupyter notebook environment. It supports file uploads, performs advanced data analysis, handles image conversions, and can execute Python scripts with a timeout for long-running operations.