Table of Content

• Introduction
• What is Prompt Engineering?
• The Blueprint
  • Define the Task properly
  • Set the right Context
  • Provide Examples
  • Give Persona to the response
  • Know your Audience
  • Provide a Format for the response
  • Set Tone right
• Example Prompt
• Conclusion

Introduction

Different AI tools are available in the market based on the Large Language Model. These LLMs are creative generators, not search engines. They don't retrieve real-time facts or reference external databases. Instead, they probabilistically predict the next text based on their training. So, you need to understand that even though you can expect creativity in responses, the responses will be based on text and its probability rather than fact checks and reality. Any errors, noise, and biases can influence the model's output.

You might have already heard about GPT, Generative Pre-trained Transformers are neural network models that use the transformer architecture powering AI applications such as ChatGPT. GPT models can create human-like text and content (images, music, and more), and conversationally answer questions. GPT models and generative AI are commonly used for content summarisation, question/answering, text generation, image/video generation, translation, data analysis, conversation, sentiment analysis, content recommendation, etc.

What is Prompt Engineering?

In early 2010, Prompt Engineering was the idea that we could prompt these LLMs to generate useful responses. However early prompt engineering was limited and based on trial and error. By 2020, when GPT-3 was introduced, we realised the power of real prompt engineering when these transformers could produce stunning responses. Over the last few years, the models are becoming ever more advanced and creative. Tools like ChatGPT, Bing, Dall-E, Gemini, Sora, etc. are available in the market.

The prompt is what the models respond to users based on the information provided. Thoughtful and creative prompts are essential for obtaining desired outputs.

The Blueprint

1. Define the Task properly

The first step in effectively responding to any prompt is to clearly define the task at hand. Be specific and start with an action verb that outlines exactly what needs to be done.

Example: Analyse customer feedback data from the past quarter to identify key trends.

2. Set the right Context

Contextualizing your response is crucial for ensuring clarity and relevance. Provide background information or specify the circumstances under which the task is to be completed. This helps the reader understand the situation and the reasons behind your response.

Example: Before implementing the new policy, provide an overview of the current challenges faced by the team.

3. Provide Examples

Illustrate your points with examples whenever possible. Examples not only clarify your message but also make it more relatable and easier to understand. They provide practical insights and demonstrate how your ideas or suggestions can be applied in real-life situations.

Example: When discussing cost-saving measures, provide examples of successful initiatives implemented in other departments.

4. Give Persona to the response

Consider the persona or voice of your response. Depending on the context and audience, your tone and style may vary. For instance, a response to a colleague might be more informal and conversational, while a response to a client may require a more formal and professional tone.

Example: When addressing a customer complaint, adopt a helpful and empathetic persona to reassure them of our commitment to resolving the issue.

5. Know your Audience

Understanding your audience is key to crafting an effective response. Tailor your message to their needs, preferences, and expectations. Consider their level of knowledge on the topic and adjust your language and explanations accordingly.

Example: When explaining technical concepts to a non-technical audience, use simple language and analogies to ensure clarity.

6. Provide a Format for the response

Structure your response in a logical format to enhance clarity and organization. Depending on the nature of the prompt, you may choose to use bullet points, headings, or paragraphs. A well-organized format makes it easier for the reader to navigate through your response and grasp the key points.

Example: For the quarterly financial report, use a structured format with headings for Revenue, Expenses, and Profit Margin.

7. Set Tone right

The tone of your response sets the overall mood and impression. Be mindful of the appropriate tone for the situation—whether it's formal, friendly, persuasive, or informative. Align your tone with the purpose of your response and the expectations of your audience.

Example: When congratulating the team on achieving a milestone, adopt a celebratory and appreciative tone to boost morale.

Example Prompt

• Task: Summarize the latest quarterly sales performance for the management team.
• Context: The latest quarterly sales figures reflect a significant increase in revenue compared to the previous quarter. This growth can be attributed to a successful marketing campaign and increased customer retention efforts.
• Examples: For instance, our new product line saw a 20% increase in sales, driven by positive customer feedback and effective promotional strategies.
• Persona: Addressing the management team requires a professional and confident tone, focusing on factual data and strategic insights.
• Audience: The management team values concise and actionable information that highlights key achievements and challenges.
• Format: Use a structured format with bullet points to highlight key metrics and trends, followed by a brief analysis of the implications for future strategies.
• Tone: Maintain a confident and proactive tone to inspire confidence in the team's performance and prospects.

Conclusion

This structure should provide a comprehensive guide for crafting effective prompt responses. Please note that not all the items need to be considered, some items may be optional like Persona, Audience, Format and Tone based on the use case.