Ci bi mu melGis bi ci topp
Modèlu projet de decodage speculatif
IA làkk
Làkk AI GUIDE
Kontrolu dekodaas yi ñooy butoŋ yiy wane ni modelu làkk bi di tànnee baat bu ci topp ci distribusioŋ probabilite bi.
Déglul tegtal biiIA-nettali · ~2 min
Jekkal yu melni tàngoor, top-p, ak baamtu penalti dañuy wane ndax génne gi dafay nuru lu xarañ, fokalise, wala tëju ci ay boucles.
Modèlu làkk du génne mbind ci saasi; Dafay genne ab probabilite ngir bépp token bu ci topp. Decodage mooy pexem soppi probabilite yooyu ñu nekk kàddu yu dëggu. Tàngoor dafay soppi jëmmu séddale bi: valeur yu woyof yi dañu koy gëna ñaw ci token bi gëna am wërsëg (focuse, deterministe), valeur yu kawe yi dañu koy platre (divers, riskant). Top-k du denc k token yi gëna am wërsëg; top-p (échantillonnage nucleus) dafay tëye ensemble bi gëna ndaw bi nga xamni probabilité yi dañuy tollu ci 0.9. Baamtu penalti dafay xaaj poñ yi jetons yi jota jëfandikoo, di tere model bi baamtu boppam. Kontrol yi ci laale bokkuna ci penalti frequency (ñu koy xayma ci ni token bi feeñee) ak penalti presence (penalty bu plat bu token bi feeñee). Tuning yii dafay tere boucles robot yi ak rambling bu jaxasoo.
Aplikaasioŋ buy bind ci anam wu xarañ dafay yokk tàngoor wi ak top-p ngir génne ay jaar-jaar yu bari te yéeme.
Jàppalekatu kodage dafay wàññi tàngoor wi ci wetu nul suko defee mu delloosi kode bi gëna am wërsëg, matt deterministik.
Chatbot dafay jëfandikoo penalti buy baamtu lu tollu ci 1.2 ngir tere ko baamtu benn mbind bi lu bari yoon.
Jëfandikukat API dafay tëral ay daan ngir tere ab resumé jëfandikoo lu ëpp benn baat bu siiw ci benn këyit bu gudd.
Decodage barabu gëstu la bu am solo. Pexe yu bees yu melni seetlu bu wuute, échantillonnage tipik, échantillonnage eta, ak echantillonnage min-p dañu bëgga yemale lëkkaloo ak wuute ci anam wu gëna am xel, moo gën ay threshold yu fiks. Decodage speculatif dafay jëfandikoo model projet bu ndaw ngir gaawlu defar. Xaarandi sistem yu ëlëg ñu méngale ay parametru dekodaas ci anam wu dinaamik ci muy tekki, ak wane ay seytu yu gëna yomba suko defee jëfandikukat yi mëna laaj 'gëna sos' wala 'gëna leer' te duñu def benn jongante ak loxo ci tàngoor ak ay daan.
Bulletin bu amul fayda
Ñatti jaar-jaari IA yuñ firndeel bis bu nekk ci ayu-bis bi, ñu bind leen ci Àngle bu leer. Gratis ba fàww, amul yëgle.
Benn email bis bu nekk ci ayu-bis bi. Benn klik nga dindi abonemaa bi. Dunu musa jaay wala séddoo sa adres.
Nattal sa bopp
Feedback ci saasi ci bépp tontu, ak sertifikaa buñ mëna séddoo ak ID buñ mëna saytu soo jàllee ci njàng mi.
Jàppale njàngum IA te doo fay. AI Understanding mbootaay la buy def te Yàlla tax — amul yëgle, amul paywall, musul am. Defal ab sarax
Kontrôlu dekodaas yi ñooy butoŋ yiy wane ni modelu làkk bi di tànnee baat bu ci topp ci distribusioŋ probabilite bi. Jekkal yu melni tàngoor, top-p, ak baamtu penalti dañuy wane ndax génne gi dafay nuru lu xarañ, fokalise, wala tëju ci ay boucles.
Tàngoor wu gëna rëy dafay dalal seddaleb probabilite, tax token yu néew probabilite gëna am taxawaayu joŋante ak génne gi gëna bari te kenn mënu la wax lumuy jur.
Top-p dafay tànn mbooloo mi gëna ndaw ci token yu mag yi nga xamni probabilite cumulatif bi yegg na ci buntu bi (lu melni, 0.9), suko defee poolu kàndidaa bi méngoo ak muy tekki.
Baamtu penalti dafay soppi logits (poñ yu bees) ci jeton yuñ jota jëfandikoo balaa ñu leen di soppi def probabilite, wàññi seen tànneef.
OpenAI’s API guide describes frequency penalty as proportional to prior token count and presence penalty as a one-off adjustment for tokens already sampled.
A temperature near zero reduces sampling randomness and makes output more deterministic; it does not guarantee that the selected code is correct.
Weyal di jàng
Tann nañu yeneen njiit ngir topic bii
Ci bi mu melGis bi ci topp
Modèlu projet de decodage speculatif
IA làkk