• Seattle Skeptics on AI
Seattle Skeptics on AI

Tag: Zero-Shot Learning

Zero-Shot vs Few-Shot Learning in LLMs: When to Use Examples
Zero-Shot vs Few-Shot Learning in LLMs: When to Use Examples

Tamara Weed, Apr, 8 2026

Explore the difference between zero-shot and few-shot learning in LLMs. Learn when to use examples to boost AI accuracy and how to implement these strategies in business.

Categories:

Enterprise Technology

Tags:

Zero-Shot Learning Few-Shot Learning Large Language Models Prompt Engineering LLM Performance

Recent post

  • Role, Rules, and Context: Structuring Prompts for Enterprise LLM Use
  • Role, Rules, and Context: Structuring Prompts for Enterprise LLM Use
  • Regulatory Readiness for Responsible Generative AI: Documentation and Controls
  • Regulatory Readiness for Responsible Generative AI: Documentation and Controls
  • Prompt Chaining for Multi-File Refactors in Version-Controlled Repositories
  • Prompt Chaining for Multi-File Refactors in Version-Controlled Repositories
  • Transformer Architecture Explained: A Technical Deep Dive into LLMs
  • Transformer Architecture Explained: A Technical Deep Dive into LLMs
  • Code Execution for LLM Agents: How AI Runs Code, Risks Involved, and Best Practices
  • Code Execution for LLM Agents: How AI Runs Code, Risks Involved, and Best Practices

Categories

  • Enterprise Technology
  • Science & Research

Archives

  • November 2026
  • October 2026
  • September 2026
  • August 2026
  • July 2026
  • June 2026
  • May 2026
  • April 2026
  • March 2026
  • February 2026
  • January 2026
  • December 2025

Tags

vibe coding prompt engineering large language models generative AI transformer architecture LLM security prompt injection AI governance AI development Large Language Models data privacy AI coding tools responsible AI LLM optimization AI compliance AI code generation LLM architecture software architecture multimodal generative AI chain-of-thought

© 2026. All rights reserved.