🔹 Importance of Prompt in AI
- Directs AI’s Response – The quality of the output depends on how clearly the prompt is framed.
- Context Provider – A good prompt sets the context, tone, and detail level of the answer.
- Efficiency Booster – Well-structured prompts reduce retries and improve accuracy.
- Customization – Prompts can be tuned to get creative, technical, or concise outputs as needed.
🔹 Garbage In, Garbage Out (GIGO) in AI
- Quality of Input = Quality of Output – Wrong or vague input leads to poor results.
- AI Can’t Fix Bad Data – If the data/prompt is flawed, AI can’t magically make it correct.
- Critical in Training & Usage – Applies to both model training data and real-time prompts.
- Takeaway – Always provide clear, accurate, and structured inputs for meaningful outputs.
🧑💻 Prompting Styles in GenAI
Prompting style = The format in which you give input to an LLM.
Each model family expects prompts in its own structure (instruction, system roles, input-output pairs, etc.).
👉 Using the right style = better alignment + higher quality output.
1️⃣ Alpaca Prompting Style