Prompt Engineering
The practice of crafting effective input prompts to guide LLMs toward desired outputs.
In more detail
Prompt engineering involves designing clear, specific instructions for AI models. Techniques include providing context, examples, explicit constraints, and role definitions. Effective prompts significantly improve LLM accuracy, creativity, and task performance without retraining.
Examples
- Few-shot prompting (providing examples)
- Chain-of-thought prompting
- System prompts
- Role-based prompts
Related terms
Ready to Build Production AI Systems?
Join a small cohort learning directly from an engineer who's shipped AI at Atlassian and PhonePe scale.
20 weeks · Weekend live classes · 1:1 mentorship · 20+ projects.
20 Weeks
Live Weekend Classes
< 30 Seats
Small Batch
Next Soon
Get priority access
7-Day
Money-Back Guarantee
Taught by Debasish Maji · Senior AI Engineer · Ex-Atlassian (Rovo Agent) · Ex-PhonePe (550M+ users)
Get notified when the next batch opens + free AI resources