Tutorials Prompt Engineering Tutorial
Few-Shot Prompting — Complete Guide
Few-Shot Prompting — Complete Guide: free step-by-step lesson with examples, common mistakes, and interview tips — part of Prompt Engineering Tutorial on Toolliyo Academy.
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Prompt Engineering Tutorial · Lesson 13 of 100
Few-Shot Prompting
Prompts → Apps
Prompts · 1 — Basics · ~6 min · Module 2: Basic Prompting Techniques
What is this?
Few-shot includes several input-output pairs in the prompt. The model picks up patterns — tone, labels, or extraction fields — from those demos.
Why should you care?
PromptVerse lets admins paste 3–5 ticket→category examples to tune classifiers without fine-tuning.
See it live — copy this example
Copy the prompt into ChatGPT, Claude, or your LLM API playground and compare outputs.
Map ticket → team.
Ex1: "Invoice PDF wrong" → billing
Ex2: "Webhook 500 on /orders" → platform
Ex3: "Need SOC2 report" → security
Ex4: "Feature idea: dark mode" → product
Ticket: "SSO login fails for Okta"
Team:What happened?
- Four diverse examples cover teams and phrasing.
- The new ticket matches pattern (SSO → likely platform or security — model generalizes).
Practice next
- Collect 4 real anonymized pairs.
- Order examples easy → hard.
- Test a ticket similar to Ex1.
- Add a contradictory ex to test robustness.
- Cap each example at 2 lines.
Remember
Multiple demos beat one. Diverse shots reduce bias to one phrasing. Curate shots like training data.
Team router
Startup routes 40% of tickets wrong.
Outcome: Five curated shots raise routing accuracy above 90%.
Interview prep for this lesson
Practice these questions aloud after reading—each links to a full structured answer.
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