Idanwo ti o sopọ mọ itọsọna · Lile Ipele
SwiGLU ati Idanwo Awọn iṣẹ ṣiṣe Gated
Tests the gated projection, SiLU gate, parameter-cost trade-offs and why hidden width changes when a SwiGLU replaces a standard MLP.
Ibeere 1 ti 8
Iṣe mojuto wo ni asọye Ẹka Linear Gated kan?
Awotẹlẹ gbogbo ibeere8 ibeere
Awọn idahun ati awọn alaye han bi o ṣe n mu ibeere naa.
- Iṣe mojuto wo ni asọye Ẹka Linear Gated kan?
- Ilọpo-ọlọgbọn eroja ti isọtẹlẹ kan nipasẹ isọtẹlẹ keji ti mu ṣiṣẹ
- Fifi awọn asọtẹlẹ laini meji pọ
- Concatenating akiyesi olori
- Pipin awọn iṣẹ ṣiṣe nipasẹ iwuwasi wọn
- Iṣẹ imuṣiṣẹ wo ni SwiGLU lo fun ẹka ẹnu-ọna rẹ?
- ReLU
- Siwiṣi (SiLU)
- Tanh
- Softmax
- Awọn matiri iwuwo iwuwo melo ni idinaki ifunni siwaju SwiGLU lo?
- Ọkan
- Meji
- Mẹta
- Mẹrin
- Kini idi ti iwọn ti o farapamọ ṣe deede iwọn si bii ida meji ninu mẹta ni awọn fẹlẹfẹlẹ SwiGLU?
- Lati mu imudara iye to
- Lati ṣe awoṣe jinle
- Lati yọ iwulo fun isọdọtun
- Lati tọju awọn paramita lapapọ ati awọn FLOPs ni afiwe si MLP boṣewa laibikita matrix afikun
- Ohun-ini iyasọtọ ti Swish ni akawe si ReLU ni pe o jẹ:
- Dan ati ti kii-monotonic, gbigba awọn odi kekere
- Ti n pọ si ni ilodi si ati pe ni 1
- Aami si iṣẹ sigmoid
- Nikan ni asọye fun awọn igbewọle rere
- Tani o gbakiki SwiGLU fun awọn ipele ifunni-ilọsiwaju ni 2020?
- Geoffrey Hinton
- Noam Shazeer
- Yan LeCun
- Andrej Karpathy
- In the SwiGLU product Swish(xW) multiplied by xV, what happens when one gate value is near zero?
- The entire Transformer layer is skipped
- The output projection is replaced by a sigmoid
- The matching value-branch dimension contributes little to the output
- The value branch is permanently frozen
- Why can keeping a standard MLP’s hidden width unchanged increase SwiGLU cost?
- The SiLU gate removes the output projection
- SwiGLU computes a full Hessian
- The value branch has no learned weights
- SwiGLU uses an extra projection matrix, so the comparable-width design would have more parameters and FLOPs