Prompt Engineering 简明教程
Prompt Engineering - Perspective Prompts
通过使用透视提示，我们可以塑造模型的响应，使其与不同的角色、观点或角色保持一致，从而提供更切合语境和多样化的答案。对于需要多重视角的情况，例如客服、内容创作或辩论模拟，此技术尤为宝贵。
在本章中，我们将深入研究透视提示的概念及其在引导 ChatGPT 从特定视点或角度做出响应中的应用。
What is Perspective Prompting?
透视提示涉及编写提示，指示 ChatGPT 作为具有独特视角或背景的特定个人、角色或专业人士做出响应。通过提供预定义的视角，模型可以生成针对该视点的定制化响应。
Benefits of Perspective Prompting
透视提示提供了多种好处 −
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Persona-Based Responses − 该技术允许创建以角色为导向的响应，使 ChatGPT 能够以不同的角色、专家或角色进行响应。
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Enhanced Personalization − 用户可以收到与他们的特定兴趣或需求产生共鸣的回复，从而带来更个性化的用户体验。
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Improved Contextual Understanding − 通过采用不同的视角，ChatGPT 可以理解和响应相关语境中的查询。
Implementing Perspective Prompting
Designing Perspective-Based Prompts − 要实施透视提示，请构造指定模型应采用的所需角色或透视的提示。使用明确的指令来指示 ChatGPT 应扮演什么角色或观点。这是一个 example −
User: As a technology expert, explain the concept of blockchain in simple terms.Model Interaction − 当 ChatGPT 遇到透视提示时，它会像指定的虚拟角色一样做出回应，提供与该视角一致的答案。请看以下 example −
User: As a technology expert, explain the concept of blockchain in simple terms.
ChatGPT: Blockchain is a decentralized and immutable digital ledger technology. It securely records and verifies transactions across a network of computers, ensuring transparency and tamper resistance.Multiple Perspectives for Balanced Responses − 对于某些问题或场景，探索不同的视角可能有利于提供平衡或多样化的响应。这是一个 example −
User: Discuss the advantages and disadvantages of renewable energy sources.Contextual Understanding − 透视提示允许 ChatGPT 根据上下文定制响应，提供与指定视角一致的答案。请看以下 example −
User: What is the best way to invest money?
ChatGPT: As a financial advisor, I recommend considering a diversified portfolio that aligns with your risk tolerance and investment goals.Applications of Perspective Prompting
视角提示可应用于各种场景 −
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Customer Support − 使用不同的角色进行个性化的客户支持响应。
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Content Creation − 生成各种专家或影响者的观点内容，以迎合特定受众。
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Debate Simulations − 在辩论或论证场景中采用不同的观点，促进角色扮演练习。
Best Practices for Perspective Prompting
为了充分利用视角提示，请考虑以下最佳实践−
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Clear Persona Definition − 确保提示中的角色或视角定义明确，以有效指导模型的响应。
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Varied Perspective Exploration − 鼓励不同的观点，在适当的情况下提供平衡且全面的响应。
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Authenticity and Context − 将响应与所选的观点保持一致，确保它们相关且真实。
Example Application − Python Implementation
让我们探索一个使用指令与 ChatGPT 交互的 Python 脚本的实际示例。
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: What is the best way to invest money? \n"
chat_prompt = user_prompt + "[Perspective]"
response = generate_chat_response(chat_prompt)
print(response)Output
The best way to invest money depends largely on individual factors such as available funds, risk tolerance, and timeline. It is important to research different investment options and speak to a financial professional to determine which strategy is best suited to your individual needs and goals.
Investing in stocks or bonds can provide a steady stream of income, while mutual funds or index funds enable diversification of one's portfolio.
Real estate can provide a stable long-term return, while cryptocurrency is a high-risk, high-reward option.
Ultimately, the best way to invest money is to choose an option that fits your individual financial goals and risk tolerance.