Kí ni Oṣuwọn ẹkọ? Ìtumọ̀ | AI Understanding

Itumọ

Hyperparameter ikẹkọ ti n ṣakoso iye awọn paramita ṣe iyipada igbesẹ imudojuiwọn kọọkan.

Awọn ofin ti o jọmọ

Fekito ti n fihan iye paramita kọọkan yẹ ki o yipada lati dinku pipadanu.

Iye atunto ti a ṣeto ṣaaju ikẹkọ, gẹgẹbi oṣuwọn ikẹkọ, iwọn ipele, tabi ijinle.

Bii awoṣe ṣe daradara lori tuntun, data ti a ko rii ni ita eto ikẹkọ.

Iṣatunṣe-Ṣiṣe-Tuning Fine daradara (PEFT)

Awọn ọna ti o ṣe adaṣe awọn awoṣe nipasẹ ikẹkọ ipin kekere ti awọn aye ti a ṣafikun.

Alugoridimu iyipada ti o tọju oke ọpọlọpọ awọn ilana oludije ni igbesẹ kọọkan lati wa awọn abajade iṣeeṣe-giga.

Ibi-afẹde mathematiki ti o ṣe iwọn aṣiṣe asọtẹlẹ lakoko ikẹkọ.

Kọ ẹkọ diẹ sii ninu awọn itọsọna ọfẹ wa

Deep Learning Reinforcement Learning Machine Learning Basics Supervised Learning

Wo tun

Large Language Model (LLM)LoRA (Low-Rank Adaptation)Latency Label Smoothing Machine Learning (ML)Knowledge Graph Memory (Agent Memory)Knowledge Distillation

Ṣawakiri ni kikun AI Gilosari Ṣawari gbogbo awọn itọsọna AI ọfẹ