N-Gram House

Tag: in-context learning

Few-Shot Prompting Patterns That Boost Accuracy in Large Language Models

Few-Shot Prompting Patterns That Boost Accuracy in Large Language Models

Few-shot prompting boosts LLM accuracy by 15-40% using just 2-8 examples. Learn the patterns that work, when to use them, and how they beat fine-tuning in cost and speed.

Categories

  • History (50)
  • Machine Learning (14)

Recent Posts

Positional Encoding in Transformers: Sinusoidal vs Learned for LLMs Nov, 28 2025
Positional Encoding in Transformers: Sinusoidal vs Learned for LLMs
How Design Teams Use Generative AI for Wireframes, Creative Variations, and Asset Generation Jan, 21 2026
How Design Teams Use Generative AI for Wireframes, Creative Variations, and Asset Generation
Scheduling Strategies to Maximize LLM Utilization During Scaling Jan, 6 2026
Scheduling Strategies to Maximize LLM Utilization During Scaling
Why Generative AI Hallucinates: The Hidden Flaws in Language Models Oct, 11 2025
Why Generative AI Hallucinates: The Hidden Flaws in Language Models
Health Checks for GPU-Backed LLM Services: Preventing Silent Failures Dec, 24 2025
Health Checks for GPU-Backed LLM Services: Preventing Silent Failures

Menu

  • About
  • Terms of Service
  • Privacy Policy
  • CCPA
  • Contact

© 2026. All rights reserved.