Tagged articles

example design

2 articles · Page 1 of 1

Nov 11, 2025 · Artificial Intelligence

Designing Effective Few-Shot Prompts: Principles, Bias Mitigation, and Scaling Strategies

The article explains how few‑shot prompts—using only 2‑5 task examples—enhance model performance, outlines prompt structure and design principles, examines factors such as example quantity, ordering, label distribution and format, discusses bias sources and calibration, and presents methods for generating many examples with reinforced and unsupervised in‑context learning.

Large Language ModelsPrompt Engineeringbias mitigation

0 likes · 11 min read

Designing Effective Few-Shot Prompts: Principles, Bias Mitigation, and Scaling Strategies

KooFE Frontend Team

Nov 6, 2025 · Artificial Intelligence

Mastering Few-Shot Prompting: Principles, Bias Fixes, and Example Design

Few-shot prompting uses a handful of task examples within the prompt to guide large language models, improving performance, adaptability, and reducing data needs, while careful design of example quantity, order, label distribution, format, and bias mitigation—through calibration and advanced methods like reinforced and unsupervised ICL—optimizes results.

Prompt Engineeringbias mitigationexample design

0 likes · 11 min read

Mastering Few-Shot Prompting: Principles, Bias Fixes, and Example Design