Kini Quantization? Itumọ | AI Understanding

Itumọ

Yiyipada awọn iwọn awoṣe si awọn ọna kika konge kekere bi 8-bit tabi 4-bit.

Awọn ofin ti o jọmọ

Awoṣe Quantization

Dinku deedee nomba ti awọn iwọn awoṣe lati dinku iranti ati idiyele idiyele.

Ilana atunṣe-itanran ti o ṣajọpọ titobi iwuwo 4-bit pẹlu awọn oluyipada LoRA lati dinku awọn iwulo iranti.

Itankalẹ afẹyinti

Algorithm ikẹkọ mojuto ti o ṣe imudojuiwọn awọn iwọn awoṣe nipasẹ didin awọn aṣiṣe asọtẹlẹ sẹhin nipasẹ nẹtiwọọki.

Nẹtiwọọki Neural Convolutional (CNN)

Aṣapeye nkankikan fun sisẹ data akoj gẹgẹbi awọn aworan.

Yiyipada data aise sinu awọn ẹya alaye ti awoṣe le lo.

AI Aṣẹ̀dá

Awọn eto AI ti o gbejade akoonu titun gẹgẹbi ọrọ, awọn aworan, ohun, fidio, tabi koodu.

Kọ ẹkọ diẹ sii ninu awọn itọsọna ọfẹ wa

Residual Vector Quantization SmoothQuant and Activation Quantization GPTQ and AWQ Post-Training Quantization Quantization

Wo tun

Pruning RAG (Retrieval-Augmented Generation)Prompt Injection Recall Prompt Engineering Recommendation System Prompt Red Teaming

Ṣawakiri ni kikun AI Gilosari Ṣawari gbogbo awọn itọsọna AI ọfẹ