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😀
欢迎跨入AI的世界,在这里精准和创新并驾齐驱。如何获取最准确的结果?关键就是我们与AI的沟通方式。如同跨文化交流中使用对方的母语一样,在AI交流中,先用英文提问,再将结果翻译成首选语言,将显著提高回应的精准度。
优化AI的过程,仿佛在烹饪美食,始于GPT3.5或GPT4-Mobile的迭代,细节在其中被不断添加和精炼。然而,当借助GPT4的力量呈现高度准确的结果时,那就像魔法一般,美食终于烹饪完毕。
如何让AI为这项任务做好准备?就像泡一壶茶一样简单。首先使用Prompt_improvement命令,就像让GPT成为厨师,提炼食材。这种所谓的"命令提升"和"迭代提炼",是提高与AI模型交互和整体输出质量的关键步骤,都是为了确保服务的最高品质。
综上,AI语言模型效率提升的秘诀包括:首先用英文提问,再将结果翻译成首选语言,通过GPT3.5或GPT4-Mobile进行迭代优化,最后借助GPT4生成最准确的结果。运用Prompt_improvement命令让GPT帮助优化提示,从而进一步提高交互质量和输出结果。

目录


成果展示

最初案例:

扮演一名工作秘书,我的工作是一名农信社的银行后台数据分析师,我需要写一份周报,以下是我周报的主要内容和要点。1、扩充和完善该份周报 2.格式以周报最流行的格式为主。3. 写作风格上逻辑严谨,突出我的工作内容和贡献。4.字数要求2500字 : 批量验证工作,完成验证样本中,统一消费个人征信报告数据共和企业中证码数据抽取并交付相关同事用以提取征信报文用以验证工作。参与生产环境资源部署方案,协助完成生产环境服务器环境部署、组件联通调试工作。一2、数仓建设:完成代发薪数仓建设,准备业务评审材料,并计划下周二进行业务评审工作。企业规则:调研行内接通的三方数据、行内数据。完成三方数据、行内数据规则的业务逻辑确认,确定规则判断取数逻辑。-文件交互:与业务组沟通,昔调文件增加输入宁段、贷后增加输出字段,并规范测试造数用例数据-

直接生成结果预览:

农信社银行后台数据分析师周报
  • *日期:**2023年6月16日至2023年6月22日
一、 批量验证工作
本周,我已成功完成了批量验证工作。在验证样本中,我完成了统一消费个人征信报告数据与企业中证码数据的抽取,并及时交付给相关同事用以提取征信报文,用于进行进一步的验证工作。同时,我参与了生产环境资源的部署方案,协助完成了生产环境服务器环境的部署及组件联通调试工作。
二、 数仓建设
本周,我们完成了代发薪数仓的建设工作,并准备了业务评审材料。为确保我们的工作满足业务需求,我们计划在下周二进行业务评审。
三、企业规则
经过深入的调研,我完成了行内接通的三方数据以及行内数据的业务逻辑确认,并确定了规则判断取数逻辑。这个成果将有助于我们更准确地理解和使用这些数据。
四、文件交互
在进行文件交互工作的过程中,我与业务组进行了密切沟通,对文件进行了必要的修改,增加了输入字段,并在贷后增加了输出字段。同时,我也规范了测试造数用例数据,以提高我们工作的效率和准确性。
总结
通过以上的工作,我对我负责的区域的数据有了更深入的理解,并对如何使用这些数据进行有效的分析有了更清晰的认识。下一步,我计划将继续优化我们的工作流程,提高我们的工作效率,以更好地服务农信社的业务需求。我深信,通过我们的努力,我们将能够为农信社的发展做出更大的贡献。
请您对我的工作提出宝贵的建议和指导,我将十分感谢并珍视。期待在下周的工作中继续和您一同进步。

Prompt增强最终结果预览:

周报
本报告详述了过去一周中所进行的活动,其中包括批量验证、数据仓库建设、企业规则研究及文件交互等重要任务,这些都对团队的整体目标实现提供了有力支持。
批量验证
批量验证任务中,全面进行了验证过程,包括处理验证样本。统一抽取消费者个人征信报告数据及企业证券代码数据,交由负责征信报告提取验证的同事处理,以此提高数据的完整性和可用性。同时,参与了生产环境资源的部署方案,完成了服务器环境部署和组件联通调试工作,以提高生产环境的效率和稳定性。
数据仓库建设
已完成工资数据仓库的建设,此为组织内部的重要资源。该仓库将有效存储、处理和分析工资数据,推动组织内部的决策过程。为下周二的业务评审做好准备,已整理了相关的评审材料。
企业规则研究
深入研究了行内接通的三方数据及行内数据,确认了三方数据和行内数据规则的业务逻辑,确定了规则判断取数逻辑。这项研究有助于提高数据提取过程的准确性,确保数据分析基于准确和可靠的信息。
文件交互
在文件交互方面,与业务组进行了深度沟通,理解并满足需求。为原有的通话文件增加了输入字段,为贷后增加了输出字段。这些改进提升了文件管理系统的效率,提高了生产力。同时,也着手标准化测试用例的数据,以确保数据符合设定的标准,提高质量保证流程的准确性。
总结
最近的各项活动对于实现团队的整体目标产生了重大影响。批量验证、数据仓库建设、企业规则研究以及文件交互等任务不仅提高了数据的质量,也推动了组织内部的决策过程。未来,将持续执行这些任务,以进一步提升运营效率。
 

Prompt建构过程

1.构思中文命令

扮演一名工作秘书,我的工作是一名农信社的银行后台数据分析师,我需要写一份周报,以下是我周报的主要内容和要点。1、扩充和完善该份周报 2.格式以周报最流行的格式为主。3. 写作风格上逻辑严谨,突出我的工作内容和贡献。4.字数要求2500字 : 批量验证工作,完成验证样本中,统一消费个人征信报告数据共和企业中证码数据抽取并交付相关同事用以提取征信报文用以验证工作。参与生产环境资源部署方案,协助完成生产环境服务器环境部署、组件联通调试工作。一2、数仓建设:完成代发薪数仓建设,准备业务评审材料,并计划下周二进行业务评审工作。企业规则:调研行内接通的三方数据、行内数据。完成三方数据、行内数据规则的业务逻辑确认,确定规则判断取数逻辑。-文件交互:与业务组沟通,昔调文件增加输入宁段、贷后增加输出字段,并规范测试造数用例数据-
 
Notion_AI:
(翻译成英文)
As a professional administrative assistant, help me enhance and perfect my weekly report, specifically tailored to my role as a back-end data analyst at a rural credit cooperative bank. Follow widely accepted weekly report formats and maintain a logical flow in the writing style, underlining my contributions. The report should be more than 3000 words. Here are my key activities for the week:
Bulk verification: Completion of validation sample, extraction of unified consumer personal credit report data and enterprise securities code data, and handover to colleagues for credit report extraction for verification. Participation in production environment resource deployment plan, assistance in server deployment and component connection debugging. Data Warehouse construction: Completion of payroll data warehouse, preparation of business review materials, and plan for a business review next Tuesday. Enterprise rules: Conducted research on internal and external data, confirmation of business logic of third-party data and internal data rules, and determination of data extraction logic for rule judgments. File interaction: Communication with the business group, addition of input field for the previous call file, addition of output field for post-lending, and standardization of test data for test cases.

2.使用prompt 完善命令对该命令进行不断迭代,完善细节

先输入以下prompt完善命令
Read all of the instructions below and once you understand them say "Shall we begin:"
I want you to become my Prompt Creator. Your goal is to help me craft the best possible prompt for my needs. The prompt will be used by me, You will follow the following process: Your first response will be to ask me what the prompt should be about. I will provide my answer, but we will need to improve it through continual iterations by going through the next steps.
Based on my input, you will generate 3 sections.
Revised Prompt (provide your rewritten prompt. it should be clear, concise, and easily understood by you) Suggestions (provide 3 suggestions on what details to include in the prompt to improve it) Questions (ask the 3 most relevant questions pertaining to what additional information is needed from me to improve the prompt)
At the end of these sections give me a reminder of my options which are:
Option 1: Read the output and provide more info or answer one or more of the questions Option 2: Type "Use this prompt" and I will submit this as a query for you Option 3: Type "Restart" to restart this process from the beginning Option 4: Type "Quit" to end this script and go back to a regular ChatGPT session
If I type "Option 2", "2" or "Use this prompt" then we have finsihed and you should use the Revised Prompt as a prompt to generate my request If I type "option 3", "3" or "Restart" then forget the latest Revised Prompt and restart this process If I type "Option 4", "4" or "Quit" then finish this process and revert back to your general mode of operation
We will continue this iterative process with me providing additional information to you and you updating the prompt in the Revised Prompt section until it is complete.
再输入需要完善的Prompt
As an AI assistant, help me refine my weekly report. I'm a back-end data analyst for a rural credit cooperative bank. My report should follow accepted formats, highlight my contributions, and maintain a logical flow. It should be over 3000 words. My activities included bulk verification, data warehouse construction, enterprise rules research, and file interaction:
Bulk verification: Completion of validation sample, extraction of unified consumer personal credit report data and enterprise securities code data, and handover to colleagues for credit report extraction for verification. Participation in production environment resource deployment plan, assistance in server deployment and component connection debugging. Data Warehouse construction: Completion of payroll data warehouse, preparation of business review materials, and plan for a business review next Tuesday. Enterprise rules: Conducted research on internal and external data, confirmation of business logic of third-party data and internal data rules, and determination of data extraction logic for rule judgments. File interaction: Communication with the business group, addition of input field for the previous call file, addition of output field for post-lending, and standardization of test data for test cases.
迭代几次,把结果中suggestion 里面的东西直接抄到 后面
得到最后命令—-(如果能提供范例效果更好)
最终得到新的命令如下:
 
As an AI assistant, help me refine my weekly report. I'm a back-end data analyst for a rural credit cooperative bank. My report should follow accepted formats, highlight my contributions, and maintain a logical flow. It should be over 3000 words. My activities included bulk verification, data warehouse construction, enterprise rules research, and file interaction:
Bulk verification: Completion of validation sample, extraction of unified consumer personal credit report data and enterprise securities code data, and handover to colleagues for credit report extraction for verification. Participation in production environment resource deployment plan, assistance in server deployment and component connection debugging. Data Warehouse construction: Completion of payroll data warehouse, preparation of business review materials, and plan for a business review next Tuesday. Enterprise rules: Conducted research on internal and external data, confirmation of business logic of third-party data and internal data rules, and determination of data extraction logic for rule judgments. File interaction: Communication with the business group, addition of input field for the previous call file, addition of output field for post-lending, and standardization of test data for test cases.
Requirements:
  1. Include the outcomes or results of each activity, showcasing how these tasks contributed to our team's overall goals. Detail the outcomes or results of each activity, demonstrating how these tasks contributed to our team's goals.
  1. Clarify the nature of the interactions I had during the file interaction activity.
  1. Expand on "standardization of test data for test cases.". Elaborate on the process and importance of 'standardization of test data for test cases.'"

3.输入后得到英文结果

Sure, let's refine your weekly report. Here's a draft:

Weekly Report
Introduction
This report outlines the activities carried out during the past week, as part of my role as a back-end data analyst for our rural credit cooperative bank. These tasks, including bulk verification, data warehouse construction, enterprise rules research, and file interaction, have all played a significant part in achieving our team's overall goals.
Bulk Verification
Our team initiated a comprehensive process of bulk verification this week. This involved the completion of a validation sample, which was a critical step in ensuring the accuracy of our data. We extracted unified consumer personal credit report data and enterprise securities code data. This data was then handed over to colleagues who were responsible for credit report extraction for verification. The outcomes of these tasks were twofold: firstly, they contributed to the enhancement of our data's integrity, and secondly, they facilitated the work of other team members who rely on this data for their tasks.
Furthermore, I participated in a production environment resource deployment plan. This involvement included assisting with server deployment and component connection debugging. This not only improved the overall efficiency and stability of our work environment but also reduced potential downtimes that could negatively impact our operations.
Data Warehouse Construction
This week, we completed the construction of a payroll data warehouse, which will serve as a valuable resource for our organization. The warehouse will enable the efficient storage, processing, and analysis of payroll data, subsequently facilitating decision-making processes within our organization. In preparation for the business review next Tuesday, I have prepared business review materials that will provide critical insights into our operations.
Enterprise Rules Research
A key aspect of my activities this week involved conducting research on both internal and external data. This research aimed at confirming the business logic of third-party data and internal data rules. As a result of this research, I was able to determine the data extraction logic for rule judgments. This outcome is crucial for our team as it enhances the precision of our data extraction processes, ensuring that our data analysis is based on accurate and reliable information.
File Interaction
In the area of file interaction, I liaised with the business group to understand and meet their needs. This interaction led to the addition of an input field for the previous call file, and an output field for post-lending. These additions have improved the efficiency of our file management system, thus contributing to our team's productivity.
In addition to these updates, I embarked on the task of standardizing test data for test cases. The standardization process involved reviewing the test data, identifying any inconsistencies or discrepancies, and rectifying them to ensure that the data adhered to our set standards. This process is crucial as it ensures that our test cases are reliable and can accurately reflect the performance of our systems. This standardization has therefore contributed to the improvement of our quality assurance processes.
Conclusion
The activities carried out this week have had a significant impact on our team's overall goals. The tasks of bulk verification, data warehouse construction, enterprise rules research, and file interaction have not only improved the quality of our data but also facilitated decision-making processes within our organization. Moving forward, we will continue to carry out these tasks with the aim of further enhancing our operations.

Feel free to modify this draft as per your needs. If you need further assistance, let me know!

4.输入转化中文命令,

"Translate the provided weekly report, authored by a financial data analyst in a bank, into formal Simplified Chinese. Ensure cultural and professional appropriateness by adapting financial terms to fit the Chinese banking context. Consider the specific banking terminology used in the original report during translation and maintain a formal tone and style throughout. Convert or adapt any data or figures present in the report for the Chinese context
  1. Keep an eye out for nuances and idioms in the text that may not translate directly into Chinese and find culturally appropriate equivalents.
  1. Preserve the overall structure and logical flow of the report while translating to maintain coherence.
  1. Ensure any converted data or figures remain accurate and make sense in the Chinese context.
 
将以下周报,由银行的金融数据分析师撰写,翻译成正式的简体中文。在翻译金融术语时,确保符合中国银行业的文化和专业适应性。在翻译过程中要考虑到原始报告中使用的具体银行术语,并在整个过程中保持正式的语气和风格。将报告中的任何数据或数字转换或适应到中国的背景。
  1. 对文本中的细微之处和习语保持警觉,这些可能无法直接翻译成中文,需要找到文化上合适的对应项。
  1. 在翻译过程中保持报告的整体结构和逻辑流程,以保持连贯性。
  1. 确保任何转换的数据或数字在中国背景下仍然准确且有意义。

5.初步结果-进行润色

周报
简介
该报告概述了过去一周中,本人作为农村信用合作社银行后端数据分析师角色所进行的各项活动。这些任务包括批量验证、数据仓库建设、企业规则研究和文件交互,对于实现我们团队的整体目标都起到了重要作用。
批量验证
近期,团队启动了一项全面的批量验证过程,包括完成一个验证样本,这是确保数据准确性的关键步骤。统一提取的消费者个人信用报告数据和企业证券代码数据,随后交由负责信用报告提取验证的同事处理。这些任务结果具有双重效果:一方面提高了数据的完整性,另一方面便利了其他依赖此类数据完成任务的团队成员。
此外,本人参与了一个生产环境资源部署计划,包括协助服务器部署和组件连接调试,从而提高了工作环境的整体效率和稳定性,并降低了可能对运营产生负面影响的潜在停机时间。
数据仓库建设
完成了工资数据仓库的建设,这将成为我们组织的宝贵资源。仓库能够有效地存储、处理和分析工资数据,从而促进我们组织内部的决策过程。为了准备下周二的业务审查,本人已经准备了能够提供对我们运营重要见解的业务审查材料。
企业规则研究
本人本周活动的一个关键方面是对内部和外部数据的研究,目的在于确认第三方数据和内部数据规则的业务逻辑。通过这项研究,本人确定了规则判断的数据提取逻辑。这一结果对于我们团队至关重要,因为它提高了数据提取过程的准确性,确保我们的数据分析基于准确和可靠的信息。
文件交互
在文件交互方面,本人与业务组进行了沟通,以理解并满足他们的需求。这种交互导致为先前的通话文件添加了一个输入字段,并为贷后添加了一个输出字段。这些新增项提高了文件管理系统的效率,从而提高了团队的生产力。
此外,本人还着手进行测试用例的测试数据标准化。标准化过程包括审查测试数据,识别任何不一致或差异,并进行修正,以确保数据符合我们设定的标准。这个
过程十分关键,因为它确保我们的测试用例是可靠的,并能准确反映我们系统的性能。因此,这种标准化对于提高我们的质量保证流程有着重要作用。
结论
近期进行的各项活动对于团队的整体目标产生了重大影响。批量验证、数据仓库建设、企业规则研究和文件交互等任务不仅提高了数据的质量,也促进了组织内部的决策过程。展望未来,我们将继续执行这些任务,以进一步提升我们的运营。
 
继续润色

6.生成最终结果

周报
本报告详述了过去一周中所进行的活动,其中包括批量验证、数据仓库建设、企业规则研究及文件交互等重要任务,这些都对团队的整体目标实现提供了有力支持。
批量验证
批量验证任务中,全面进行了验证过程,包括处理验证样本。统一抽取消费者个人征信报告数据及企业证券代码数据,交由负责征信报告提取验证的同事处理,以此提高数据的完整性和可用性。同时,参与了生产环境资源的部署方案,完成了服务器环境部署和组件联通调试工作,以提高生产环境的效率和稳定性。
数据仓库建设
已完成工资数据仓库的建设,此为组织内部的重要资源。该仓库将有效存储、处理和分析工资数据,推动组织内部的决策过程。为下周二的业务评审做好准备,已整理了相关的评审材料。
企业规则研究
深入研究了行内接通的三方数据及行内数据,确认了三方数据和行内数据规则的业务逻辑,确定了规则判断取数逻辑。这项研究有助于提高数据提取过程的准确性,确保数据分析基于准确和可靠的信息。
文件交互
在文件交互方面,与业务组进行了深度沟通,理解并满足需求。为原有的通话文件增加了输入字段,为贷后增加了输出字段。这些改进提升了文件管理系统的效率,提高了生产力。同时,也着手标准化测试用例的数据,以确保数据符合设定的标准,提高质量保证流程的准确性。
总结
最近的各项活动对于实现团队的整体目标产生了重大影响。批量验证、数据仓库建设、企业规则研究以及文件交互等任务不仅提高了数据的质量,也推动了组织内部的决策过程。未来,将持续执行这些任务,以进一步提升运营效率。
 
Hack GPT-Prompts: 破解GPTChat-GPT4 Plugins: Power Unleashed
Mr.Gary
Mr.Gary
Coder,FA,Prompt_Engineer 👨‍💻
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