Idanwo ti o sopọ mọ itọsọna · Lile Ipele
Sisanwọle Speculative ati Olona-Tokini Asọtẹlẹ adanwo
Checks draft proposals, target verification, accepted prefixes, multi-token heads and why acceptance rate affects decoding speed.
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Kini idi ti iyipada autoregressive boṣewa nigbagbogbo fa fifalẹ lori GPU kan?
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- Kini idi ti iyipada autoregressive boṣewa nigbagbogbo fa fifalẹ lori GPU kan?
- Awọn ami-ami jẹ iṣelọpọ ọkan ni akoko kan, nlọ GPU ti ko lo ni igbesẹ kan
- GPU nṣiṣẹ jade ti iranti lẹsẹkẹsẹ
- O gbọdọ tun ikẹkọ lori kọọkan àmi
- Awọn fokabulari ti wa ni kekere ju
- Kini 'akọsilẹ' ṣe ni iyipada arosọ?
- O kọ idahun ikẹhin nikan
- O tanmo orisirisi tani ojo iwaju àmi cheaply
- O npa awọn ami-iṣeeṣe kekere kuro
- O compresses awọn iwọn awoṣe
- Bawo ni a ṣe tọju didara iṣẹjade ni iyipada arosọ?
- Nipa yiyi awọn iṣeeṣe si odo
- Nipa lilo awọn ọrọ ti o tobi ju
- Nipa ijerisi ti o gba awọn ami-ami nikan ti o baamu pinpin ibi-afẹde
- Nipa fo ijẹrisi patapata
- Kini o ṣe iyatọ asọtẹlẹ-ọpọ-àmi-ara Medusa lati ṣe iyipada arosọ Ayebaye?
- O nilo awọn awoṣe nla meji lọtọ
- O ṣiṣẹ nikan fun iran aworan
- O yọ iwulo fun eyikeyi kọja siwaju
- O ṣafikun awọn olori asọtẹlẹ iwuwo fẹẹrẹ ni afikun nitorinaa awoṣe awoṣe kan ati rii daju
- Kini idi ti ẹrọ oluyipada kan le rii daju ọpọlọpọ awọn ipo oludije ti o fẹrẹ fẹẹrẹ bi ọkan lakoko iyipada?
- Nitori iyipada jẹ didi bandiwidi iranti-iranti, kii ṣe didi iṣiro
- Nitori ti o caches gbogbo ayelujara
- Nitori ijerisi foo awọn ipele akiyesi
- Nitori iyara aago GPU ilọpo meji
- Kini nipataki pinnu iyara lati awọn ọna akiyesi tabi awọn ọna ami-ọpọlọpọ?
- Awọn awọ ti GPU
- Awọn apapọ nọmba ti àmi gba fun igbese
- Awọn ipari ti awọn awoṣe ká orukọ
- Iwọn disk naa
- A draft proposes tokens A, B and C, but target verification first disagrees at B. Which proposal prefix can be accepted?
- A, B and C
- B and C only
- A, the matching prefix before the first mismatch
- None, even if A matches
- Why can speculative decoding preserve the target model’s output distribution?
- The drafter is guaranteed to be identical to the target
- The target model is never run
- All proposed tokens are accepted unconditionally
- A verification and correction rule accepts or rejects draft tokens according to the target distribution