Mutauro AI GUIDE

Constrained Decoding

Kudhindwa kudhikodha kunomanikidza modhi yemutauro kuti ibudise zvinobuda zvinotevedza mitemo yakasimba - senge JSON inoshanda, regex pateni, kana sarudzo dzakamisikidzwa - nekuvharira chero chiratidzo chinopwanya chimiro.

Teerera kugwaro iriAI-yakarondedzerwa · ~2 min

Pa peji ino2 min verenga
  1. Pfupiso
  2. Kudzika Kwakadzika
  3. Kuitwa muNyika yeChokwadi
  4. Ramangwana Rekumanikidzwa Decoding
  5. Kuzvishandisa
  6. Ramba Uchiongorora
  7. Mibvunzo inowanzo bvunzwa

Pfupiso

It turns a probabilistic text generator into a reliable producer of machine-parseable output.

Kudzika Kwakadzika

Mutauro wemodhi unowanzo sampuli yechiratidzo chinotevera kubva pamazwi ayo akazara, saka hapana chinoimisa kuburitsa comma yakarasika kana bhuraketi risina kuenzana rinotyora JSON parsing. Constrained decoding inogadzirisa izvi nekuchengetedza girama kana muchina wehurumende padivi pechizvarwa. Panhanho imwe neimwe, sisitimu inoverengera kuti ndeapi ma tokens ari pamutemo akapihwa izvo zvagadzirwa kusvika zvino, yobva yavhara kunze (inoisa kune yakaipa infinity) mukana wechero chiratidzo chisiri pamutemo usati watora sampling. KuJSON, zvinoreva kuti mushure mekuvhura brace chete quote kana kuvhara brace inobvumidzwa; mushure mekiyi, ingori colon. Mashandisirwo akajairwa anounganidza magirama asina mamiriro (seGBNF mullama.cpp), JSON Schemas, kana mataurirwo enguva dzose mune aya masiki-level masks, achivimbisa kuburitsa kwacho kunoshanda nekuvaka kwete netariro.

Kuitwa muNyika yeChokwadi

Kumanikidza LLM kuburitsa JSON inonyatso enderana neyakafanotsanangurwa schema saka yakadzika kodhi kodhi inogona kuiisa pasina kuedza / kunze kwevarindi.

Kuganhurira mhinduro yemhando yemhando kune imwe yemazita akaiswa seti 'positive', 'negative', kana 'neutral' uye hapana chimwe.

Kugadzira syntactically inoshanda SQL kana basa-call nharo dzekushandisa chishandiso, apo chiratidzo chisina kurongeka chinopunza muiti.

Kugadzira inobuda inoenderana neyakajairwa kutaura, senge nhamba yefoni, ISO date, kana yakatarwa-format chigadzirwa kodhi.

Ramangwana Rekumanikidzwa Decoding

Constrained decoding iri kuita yakasarudzika kwete yekuwedzera-pairi: vanopa zvino vafumura 'zvakarongwa zvinobuda' uye 'JSON modhi' inovimbisa schema kutevedzera server-parutivi. Tarisira kukurumidza kuunganidzwa kwegirama, yakaderera latency kubva precomputed otomatiki, uye yakasimba kusanganisa nekufona kwechishandiso uye maajenti masisitimu, uko mhinduro yega yega modhi inofanirwa kupinza zvakachena mukodhi. Tsvagiridzo iri kusundira kune zvimhingamipinyi zvakapfuma - masisitimu emhando, yakazara programming-mutauro girama, uye semantic cheki - pasina kupira kutsetsenura kwemuenzaniso.

Kuzvishandisa

Nei zvichikosha

  • Kumhanya uye chiyero. Mutauro workflows inogona kufamba nekukurumidza pasina kupira kuenderana.
  • Svika uye svika. Inopamhidzira kupinda mumitauro yese nemataera ekutaurirana.
  • Sarudzo dzakajeka. Zvikwata zvinogona kupedza nguva yakawanda pakutonga uku otomatiki ichibata kudzokorora.

Chenjera

  • Chokwadi chehuroyi chinogona kupinda chinyararire mishumo, kuyerera kwetsigiro, kana tsvakiridzo.
  • Kunzwa nekukasira kunogona kugadzira mhedzisiro isingaenderane pane zvikumbiro zvakafanana.
  • Sensitive text data inogona kuburitswa kana zvidhiraivho zvisina kusimba.

Matanho anotevera

  1. Tsanangura chimiro chekubuda, toni, uye mhando zviyero usati waburitsa.
  2. Mhinduro dzepasi neakavimbika masosi pese pazvine basa.
  3. Chengetedza ongororo yekuongorora yemunhu kune yakakwira-stake zvinobuda.
  4. Tevera maitiro ekutadza uye dzidzisazve kukurudzira kana mafambiro ebasa nguva nenguva.

Ramba Uchiongorora

Tsamba yemahara

Tora iyo yemazuva ese AI pfupiso

Nhatu dzakasimbiswa dzeAI nyaya mangwanani ega ega pakati pevhiki, dzakanyorwa neChirungu chakajeka. Yemahara zvachose, hapana ads.

Imwe email zuva rega rega revhiki. Bvisa kunyoresa kamwe chete. Hatimbotengese kana kugovera kero yako.

Zviedze iwe pachako

Take the Constrained Decoding quiz

Mhinduro yepakarepo pamhinduro yega yega, uye chitupa chinogovaniswa chine ID inobatika kana wapedza kosi.

Tanga mibvunzo

Tsigira dzidzo yemahara yeAI. AI Understanding ndeye 501(c)(3) isingabatsiri - hapana ads, hapana paywall, zvachose. Ita chipo

Mibvunzo inowanzo bvunzwa

What is Constrained Decoding?

Kudhindwa kudhikodha kunomanikidza modhi yemutauro kuti ibudise zvinobuda zvinotevedza mitemo yakasimba - senge JSON inoshanda, regex pateni, kana sarudzo dzakamisikidzwa - nekuvharira chero chiratidzo chinopwanya chimiro. Inoshandura jenareta yemavara inokwanisika kuita mugadziri akavimbika wemuchina-paseable inobuda.

Chii chinoita kuti constrained decoding iite padanho rega rega rechizvarwa?

Inomanikidzirwa decoding computes kuti ndeapi ma tokens ari pamutemo akapihwa girama mamiriro uye anoisa mukana wematokeni ese asiri pamutemo kuti anyatso zero pamberi pemuenzaniso masampuli.

What can happen if a requested JSON Schema uses a feature unsupported by a structured-output implementation?

The current Structured Outputs documentation states that an unsupported JSON Schema in strict mode results in an error; schemas have an implementation-specific supported subset.

Nderipi dambudziko rehunyanzvi rinoita kuti kudzvanywa decoding kuve nyore kuita?

Tokenizers anopatsanura zvinyorwa kuita zvidimbu zvemashoko zvinorembera kana kupatsanura girama miganhu, saka maraibhurari anofanirwa kuita mepu yeshanduko yegirama kuenda kune chaiyo chiratidzo chezwi.

Ndeipi yeiyi fomati chaiyo inoshandiswa kududzira zvipingaidzo pakudhikodha?

JSON Schemas, magirama asina mamiriro (seGBNF), uye mataurirwo enguva dzose anowanzo kuunganidzwa mumasiki echiratidzo anosimbisa chimiro.

Ndeipi nguva yepombi iyo inomanikidza mask inowanzo shandiswa?

Iyo mask inoiswa kune mbishi marogi kuitira kuti tokeni zvisiri pamutemo zvigamuchire mukana usingaite kana chiratidzo chinotevera chatorwa.