Prompt engineering for technical writers

The introduction of ChatGPT and Bard have empowered technical writers during content creation activities in the documentation lifecycle. These GenerativeAI( GenAI) tools can be easily accessed via prompts which is a familiar interface. There are various tricks to prompt a Gen AI to get exactly what you need during your content creation activities. Therefore, it’s ideal to understand how to construct a prompt and use it effectively to achieve your goals.

Key takeaways

• Elements in the prompt that you may pass to the model such as Instruction, Context, Input data, and Output format.
• Few tactics that can be applied for prompt engineering are clarity in instructions, using personas, iterative fine tuning, code generation, fixing typos and semantic errors.
• Prompt engineering can generate customer support email with prompt to include list of steps to add business glossary to the responses.
• Quick and easy language translation is made possible by properly structuring prompt.
• Summarize long articles and generate outputs in different formats
• Understand the limitation of GenAI tools

About the Speaker

Selvaraaju Murugesan received the B.Eng. degree in Mechatronics Engineering (Gold medalist) from Anna University in 2004 and the M.Eng. degree from LaTrobe University, Australia, in 2008. He has received his Ph.D. degree in Computational mathematics, LaTrobe University. He is currently working as the Head of Data Science at SaaS startup Kovai.co. His interests are in the areas of Business Strategy, Data Analytics, Artificial Intelligence, and Technical Documentation.