Emergent Behavior

Kemampuan yang tidak diprogram secara eksplisit, muncul dari skala model + data. LLM menunjukkan emergent abilities pada skala tertentu (reasoning, in-context learning).

Emergent abilities: in-context learning, chain-of-thought, multi-step reasoning muncul di skala parameter tertentu. Dipopulerkan Wei et al. 2022. Kontroversi: Schaeffer et al. 2023 argumen 'mirage'.

Also known as: perilaku emergent
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Emergent Behavior

Definisi

Emergent behavior adalah kemampuan yang muncul secara tak terduga saat model mencapai skala tertentu — tidak ada instruksi eksplisit untuk kemampuan itu.

Contoh LLM

  • In-context learning (GPT-3, 175B) — belajar dari contoh di prompt
  • Chain-of-thought reasoning (PaLM 540B)
  • Multi-step arithmetic
  • Code generation yang benar
  • Translation antar bahasa tanpa training eksplisit
  • Analogi dan metafora

Kontroversi

  • Wei et al. 2022“Emergent Abilities of Large Language Models”
  • Schaeffer et al. 2023“Are Emergent Abilities of Large Language Models a Mirage?” — argumen bahwa emergence tergantung metric

Connected to

Not yet written

The following pages are referenced but don't exist yet — they'd make good future additions.

  • /concepts/large-language-model

References

  1. Wikipedia

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