Kedis ku xidhan hagaha · Dhexdhexaad Heerka
Ku qasbida Macallinka ee Qaababka isku xigxiga Kediska
Waxay hubisaa sida horgalayaasha runta-hoose ay u tababaraan furaha isku xigxiga, sida waji-xidhaha sababuhu u taageeraan tababarka barbar socda, iyo sababta ay u kala duwan yihiin.
Su'aal 1 ee 8
Inta lagu jiro qasabka macalinka, maxaa lagu quudin jiray ka qaybgalka tallaabo kasta oo lagu kala saarayo?
Horudhac su'aal kasta8 su'aalo
Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.
- Inta lagu jiro qasabka macalinka, maxaa lagu quudin jiray ka qaybgalka tallaabo kasta oo lagu kala saarayo?
- Astaantii hore ee runta
- Qaabka saadaasha hore ee u gaarka ah
- Calaamad random
- Calaamadda wax-soo-saarka kama dambaysta ah
- During teacher-forced training, what target is paired with decoder input y_(t−1)?
- The previous ground-truth token
- The next target token y_t
- A token sampled from the validation set
- The maximum-probability output from an earlier training run
- Is-waafajinta imtixaanka tareenka ee ay sababtay qasabka macalinka waxaa loo yaqaan:
- Qaybaha baaba'aya
- Habka burburay
- Eexda muujinta
- Summada daadinta
- Furaha beddelka, habkee u ogolaanaya in tababarka macallimiintu ay si isbar-bar socdaan dhammaan jagooyinka?
- Ka saarida
- Dufcaddii caadiga ahayd
- Baadhitaanka Beam
- Maaskaro feejignaan ah oo sababa (horumar-fiirin).
- Waqtiga go'aanka, maxaa diidaya in macalinka qasab loo isticmaalo?
- Ma jiraan calaamado mustaqbal oo xaqiiqada dhabta ah oo la quudiyo
- Shaqada luminta lama heli karo
- GPU-gu aad buu u gaabiyaa
- Maaskarada feejignaanta waa naafo
- Waa kuwee khasaaraha sida caadiga ah loo isticmaalo tillaabo kasta inta lagu jiro tababarka macallinka lagu qasbay?
- Khaladka celceliska labajibaaran yahay ee saadka cayriin
- Iskutallaab u dhexeeya qaybinta la saadaaliyay iyo calaamadda xigta ee runta ah
- Luminta miskaha ee ku dhejinta
- Luminta isku midka ah Cosine
- The target sequence is “red, blue, green.” Under teacher forcing, which token is supplied when training the prediction of “green”?
- The model’s prediction for “green”
- The future token after “green”
- The ground-truth previous token “blue”
- A randomly sampled vocabulary item
- At decoder position t, which tokens must a causal attention mask block?
- The source sequence
- All earlier target tokens
- The current position’s own input
- Target tokens at positions later than t