Guide-yakabatana mibvunzo · Zvakaoma Nhanho
Mamba uye Selective State Spaces Quiz
Ongorora Mamba's yekuisa-inotsamira SSM paramita, yakagadziriswa-saizi mamiriro, mutsara-nguva kutevedzana kugadzirisa, uye hardware-inoziva parallel scan.
Mubvunzo 1 ye 8
Chii chakakosha computational mukana weMamba pamusoro peyakajairwa Transformer?
Tarisa mubvunzo wese8 mibvunzo
Mhinduro uye tsananguro zvinoonekwa paunenge uchitora bvunzo.
- Chii chakakosha computational mukana weMamba pamusoro peyakajairwa Transformer?
- Inoyera zvakatevedzana nehurefu hwekutevedzana pachinzvimbo che quadratically
- Izvo hazvidi data yekudzidziswa
- Inoshanda chete pamifananidzo
- Inobvisa kudiwa kwechero nyika yakavanzika
- Ko izwi rekuti 'selective' rinorevei kuMamba?
- Iyo inosarudza iyo GPU yekumhanya pairi
- Yayo SSM paramita inotsamira pane yekupinza tokeni, saka inogona kusarudza yekurangarira kana kukanganwa
- Inosarudza mazita nezviito chete
- Iyo inotora isina kurongeka subset yematokeni yekufuratira
- Ko modhi yemuchadenga inomiririra sei nhoroondo yekutevedzana?
- Nekuchengeta chiratidzo chega chega chekare zvakajeka
- Nekudhirowa mepu yekutarisa pane ese maviri maviri
- Nekumanikidza nhoroondo kuita yakagadziriswa-saizi yakavanzika mamiriro akagadziridzwa nhanho nhanho
- Harichengeti chero nhoroondo
- Sei Mamba isingashandise nzira yekudimbudzira yekukurumidza yakamboshandiswa neSSM?
- Nekuti convolutions hazvisi pamutemo paGPUs
- Nekuti haina parameters
- Nekuti inogadzira tokeni mune zvisina kurongeka
- Nekuti kugadzira maparamendi anoenderana-anotsamira anotyora iyo nguva-invariance convolutions inoda
- Ndeipi nzira inoshandiswa neMamba kuramba yakatsanya kunyangwe yarasa nzira yekudimbudzira?
- Hardware-aware parallel scan inochengetwa mukukurumidza GPU ndangariro
- Kumhanya zvachose paCPU
- Chengetedza zvese token pairs
- Kusvetuka zvakanyanya kutevedzana
- Ndiani akasuma Mamba uye nguvai?
- OpenAI muna 2018
- Albert Gu naTri Dao mukupera kwa2023
- Google muna 2015
- Hapana, ndezvekufungidzira
- Which Mamba state-space parameters are made functions of the current input?
- Only the fixed transition matrix A
- The output vocabulary and tokenizer
- B, C, and the step size delta
- The attention query and key heads
- What do the variable B, C, and delta parameters let Mamba do?
- Build a growing key-value cache for every token
- Route each token to an expert network only
- Replace the state update with full all-pairs attention
- Choose how much information to let into the state and how much to retain based on the input