What is In-Context Learning? Definition | AI Understanding

Itumọ

Agbara awoṣe lati tẹle awọn ilana lati awọn apẹẹrẹ ti a pese taara ni itọka naa.

Awọn ofin ti o jọmọ

Awọn ilana titẹ sii ati ọrọ-ọrọ ti a pese si awoṣe ipilẹṣẹ.

Kọ ẹkọ tabi ṣatunṣe ihuwasi lati nọmba kekere ti awọn apẹẹrẹ.

Ẹ̀kọ́ Ẹ̀rọ (ML)

Awọn ọna ti o gba awọn ọna ṣiṣe laaye lati kọ ẹkọ awọn ilana lati data ati ilọsiwaju ni akoko pupọ.

Ẹkọ ti ko ni abojuto

Awọn ilana kikọ lati data ti ko ni aami laisi awọn abajade ibi-afẹde ti o fojuhan.

GbólóhùnPiece

Tokenizer ede-agnostic ti o kọ ẹkọ awọn ipin ọrọ-ọrọ taara lati ọrọ aise laisi pipin-tẹlẹ lori aaye funfun.

Isọdi ero inu

Sisọtẹlẹ idi olumulo lati ibeere ọrọ kan lati tọ ọ lọna ti o tọ.

Kọ ẹkọ diẹ sii ninu awọn itọsọna ọfẹ wa

Deep Learning Reinforcement Learning Machine Learning Basics Supervised Learning

Wo tun

Hyperparameter Inference Human-in-the-Loop Inference-Time Compute Hallucination Instruction Tuning Guardrails Ground Truth

Ṣawakiri ni kikun AI Gilosari Ṣawari gbogbo awọn itọsọna AI ọfẹ