Tag: in-context learning

Oct, 13 2026

Transfer and Emergence: When LLM Capabilities Appear at Scale

Discover how large language models develop sudden, unpredictable capabilities through emergence. Learn why scaling laws don't predict task performance jumps and what this means for AI safety and development.

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Feb, 27 2026

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

Few-shot prompting improves LLM accuracy by 15-40% using just 2-8 examples. Learn the top patterns that work, where to apply them, and how to avoid common mistakes.

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