- 首頁
- 簡介
- 提示在AI模型中的作用
- 什麼是生成式AI?
- NLP和ML基礎
- 常見的NLP任務
- 最佳化基於提示的模型
- 調整和最佳化技術
- 預訓練和遷移學習
- 設計有效的提示
- 提示生成策略
- 監控提示有效性
- 特定領域的提示
- ChatGPT提示示例
- 模擬(ACT LIKE)提示
- 包含(INCLUDE)提示
- 列(COLUMN)提示
- 查詢(FIND)提示
- 翻譯(TRANSLATE)提示
- 定義(DEFINE)提示
- 轉換(CONVERT)提示
- 計算(CALCULATE)提示
- 生成想法(GENERATING IDEAS)提示
- 建立列表(CREATE A LIST)提示
- 確定原因(DETERMINE CAUSE)提示
- 評估影響(ASSESS IMPACT)提示
- 推薦解決方案(RECOMMEND SOLUTIONS)提示
- 解釋概念(EXPLAIN CONCEPT)提示
- 概述步驟(OUTLINE STEPS)提示
- 描述益處(DESCRIBE BENEFITS)提示
- 解釋缺點(EXPLAIN DRAWBACKS)提示
- 縮短(SHORTEN)提示
- 設計指令碼(DESIGN SCRIPT)提示
- 創意調查(CREATIVE SURVEY)提示
- 分析工作流程(ANALYZE WORKFLOW)提示
- 設計入職流程(DESIGN ONBOARDING PROCESS)提示
- 開發培訓計劃(DEVELOP TRAINING PROGRAM)提示
- 設計反饋流程(DESIGN FEEDBACK PROCESS)提示
- 制定留存策略(DEVELOP RETENTION STRATEGY)提示
- 分析SEO(ANALYZE SEO)提示
- 制定銷售策略(DEVELOP SALES STRATEGY)提示
- 建立專案計劃(CREATE PROJECT PLAN)提示
- 分析客戶行為(ANALYZE CUSTOMER BEHAVIOR)提示
- 建立內容策略(CREATE CONTENT STRATEGY)提示
- 建立郵件營銷活動(CREATE EMAIL CAMPAIGN)提示
- ChatGPT在工作場所中的應用
- 程式設計師的提示
- 基於人力資源的提示
- 基於財務的提示
- 基於營銷的提示
- 基於客戶服務的提示
- 思維鏈提示
- 先問後答提示
- 填空提示
- 視角提示
- 建設性批評提示
- 比較提示
- 反向提示
- 社交媒體提示
- 高階提示工程
- 高階提示
- 新想法和文案生成
- 倫理考量
- 應該做和不應該做的事
- 有用的庫和框架
- 案例研究和示例
- 新興趨勢
- 提示工程有用資源
- 快速指南
- 有用資源
- 討論
提示工程 - 基於人力資源的提示
在本章中,我們將探討人力資源專業人員如何透過提示工程利用ChatGPT的力量來完成基於人力資源的任務,例如候選人篩選、員工入職和培訓等。
求職者篩選問題
人力資源專業人員可以使用ChatGPT為求職者生成篩選問題。透過制定尋求特定技能、資格或經驗的提示,人力資源團隊可以有效地篩選和縮小潛在候選人的範圍。
這是一個示例 -
User: We are hiring a software engineer. Can you suggest some screening questions to assess their coding skills? ChatGPT: Certainly! Here are some screening questions for software engineer candidates: 1. Describe a challenging coding problem you recently solved and the approach you took. 2. What programming languages and frameworks are you proficient in? 3. Can you explain the difference between inheritance and composition in object-oriented programming? 4. Have you worked on any large-scale software projects? If so, what role did you play in the development process?
用於文化契合度的行為問題
人力資源專業人員可以使用ChatGPT生成行為問題,以評估候選人與公司文化和價值觀的匹配程度。這些問題可以幫助識別在組織工作環境中能夠蓬勃發展的候選人。
這是一個示例 -
User: We are looking for candidates who fit our collaborative work culture. Can you suggest some behavioral questions? ChatGPT: Absolutely! Here are some behavioral questions to assess a candidate's fit with our collaborative culture: 1. Can you describe a situation where you had to work closely with a team to achieve a common goal? 2. How do you handle disagreements or conflicts with team members? 3. Share an example of a time when you went above and beyond to support a colleague in their work. 4. How do you contribute to fostering a positive and inclusive work environment?
員工入職和培訓
人力資源專業人員可以使用ChatGPT為新員工生成個性化的歡迎資訊。這些資訊可以包含有關公司、其角色和入職流程的基本資訊。
人力資源專業人員可以藉助ChatGPT建立定製的培訓材料並簡化員工入職流程。這是一個示例 -
User: We have a new employee starting next week. Can you help draft a welcome message for their onboarding? ChatGPT: Absolutely! Here's a draft of a welcome message for the new employee: "Dear [Employee's Name], Welcome to [Company Name]! We are thrilled to have you join our team. Your expertise and skills will be instrumental in driving our company's success. During your onboarding, you'll be introduced to your team and learn more about our company culture, values, and mission. Our HR team is here to support you every step of the way. We look forward to your contributions and wish you a successful and rewarding journey with us! Best regards, [Your Name]"
基於人力資源的提示的最佳實踐
為了有效地利用基於人力資源的提示,請考慮以下最佳實踐 -
將提示定製到特定的人力資源任務 - 建立針對特定人力資源任務的提示,例如候選人篩選、入職、培訓和績效評估。
保持提示清晰簡潔 - 以清晰的方式制定提示,以確保ChatGPT提供準確和相關的回覆。
審查和驗證回覆 - 雖然ChatGPT可以提供有價值的見解,但人力資源專業人員應審查和驗證回覆,以確保其準確性和符合公司政策。
示例應用:Python實現
讓我們探索一個使用“面向程式設計師的CHATGPT”指令的實用示例,並使用與ChatGPT互動的Python指令碼。
import openai
# Set your API key here
openai.api_key = 'YOUR_API_KEY'
def generate_chat_response(prompt):
response = openai.Completion.create(
engine="text-davinci-003",
prompt=prompt,
max_tokens=500,
temperature=0.7,
n=1,
stop=None
)
return response
user_prompt = "User: We are looking for candidates who fit our collaborative work culture. Can you suggest some behavioral questions? \n"
chat_prompt = user_prompt + "[HR Based Prompt]"
response = generate_chat_response(chat_prompt)
print(response)
輸出
在這種情況下,我們從ChatGPT獲得了以下輸出 -
Some behavioral questions you might ask to assess a candidate's fit for a collaborative work culture include: 1. Describe a time when you had to work with a team to reach a goal. How did you contribute to the success of the team? 2. What strategies have you used to build successful relationships with colleagues in the past? 3. Tell us about a time when you had to resolve a conflict with a colleague or team member. 4. How do you handle working with a team member who has a different communication style than you? 5. Describe a time when you had to collaborate with someone to complete a project. What was the result?
結論
在本章中,我們探討了在與人力資源相關的任務中使用ChatGPT進行提示工程的應用。從候選人篩選和行為問題到員工入職和績效評估,人力資源專業人員可以使用基於人力資源的提示來簡化員工生命週期的各個方面。
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