few shot learning

the ability to learn and adapt now matters more than degrees" — Direct assertion that adaptive learning capability is now the primary differentiator for engineers, surpassing formal credentials

Article explicitly names few-shot learning as a context strategy ('context learning') where examples teach the model patterns

humans still learn faster with fewer examples" — Article explicitly contrasts human few-shot learning advantage against LLM capabilities, highlighting a key difference in learning efficiency.

Uses few-shot examples as context curation technique; paper references Brown et al. (2020) foundational few-shot learning research

Domain-specific examples and code in evolved context function as high-quality few-shot demonstrations, improving agent generalization.