Hey there! 👋

Welcome back to an another DDC Weekly. Last edition, we explored about “Understanding Prompts in Gen-AI tools”.

 It is about giving specific inputs that help the AI understand your context, scope, and needs to deliver more accurate answers. This week, let’s look into the Prompting side.

Here’s a summary of key highlights:

Essence of Prompting

Prompting is about giving clear, specific instructions to AI tools. Good prompts improve context understanding, quick responses, and increase accuracy.

Key Elements of an Effective Prompt

1. Task description (mandatory, chain-of-thought, analyse, summarise, categorise)
2. Relevant background information (context, important)
3. Examples (shots, important)
4. Specific instructions or constraints (format, structure, style, filters, do’s and don’ts, constraints, etc., nice-to-have, follow-ups)
5. Data Inputs (nuances, hyper-specific)

Prompting Examples

1. Weather Forecast,
2. Recipe Recommendation
3. Travel Planning

Questions to Ask Before Prompting

1. What problem am I really trying to solve?
2. What am I truly trying to achieve?
3. Who are the audience of the content?
4. What are my underlying assumptions?
5. What are the potential consequences of this decision?

You can practice this using ChatGPT, Perplexity or Claude to understand about how to get effective outputs in AI tools using prompting.

Cheers,
Arjun