Mutauro AI GUIDE

Contrastive Decoding

Contrast decoding inoburitsa mavara emhando yepamusoro nekubvisa maitiro emutauro mudiki, usina simba kubva kune iwo mukuru, wakasimba.

Teerera kugwaro iriAI-yakarondedzerwa · ~2 min

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

Pfupiso

Inokwidziridza izvo nyanzvi inoziva uye iyo amateur inopotsa, ichideredza kudzokorora uye bland kubuda.

Kudzika Kwakadzika

Contrastive decoding scores candidate tokens using an expert model and an amateur model, subtracting a weighted amateur log-probability from the expert score. It can suppress tokens that both models favor, including some generic or repetitive continuations. An adaptive plausibility constraint filters out tokens whose expert probability is too small relative to the expert’s highest-probability token. This constraint limits candidates; it does not guarantee coherent, grammatical, or truthful output. Output quality depends on the models, coefficient, threshold, prompt, and task, so evaluate the full generation. The method runs at inference time with two models and requires no additional training.

Kuitwa muNyika yeChokwadi

Kugadzira nyaya refu, isingadzokorore kana kuenderera mberi kwechinyorwa uko nucleus sampling inodonha kuita loop

Kubatanidza nyanzvi ye65B ine 1.5B amateur yekuvandudza chizvarwa chakavhurika pasina kunyatsogadzirisa.

Kuderedza kudzokororwa kwakashata mukupfupisa uye nhaurirano zvabuda

Kushanda sehwaro hweDoLa-maitiro ekuzvisiyanisa kudzikisa chokwadi chekufungidzira

Ramangwana reContrastive Decoding

Contrastive decoding yakakurudzira mhuri ye 'contrast at inference' nzira, kusanganisira DoLa (kusiyanisa yemuenzaniso wega wekare neanononoka maseketi kucheka kufungidzira) uye mutsauko-unoziva musiyano unosiyana uye usina magwaro akadzoserwa. Tarisira kubatanidzwa kwakasimba nekudzoreredza, zvibodzwa zvechokwadi, uye diki-amateur distillation, pamwe nekusanganiswa nekufungidzira decoding kuitira kuti maamateur atungamirire kunaka uye kukurumidze chizvarwa panguva imwe chete.

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 Contrastive 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

Chii chinonzi Contrastive Decoding?

Contrast decoding inoburitsa mavara emhando yepamusoro nekubvisa maitiro emutauro mudiki, usina simba kubva kune iwo mukuru, wakasimba. Inokwidziridza izvo nyanzvi inoziva uye iyo amateur inopotsa, ichideredza kudzokorora uye bland kubuda.

Mukududzira kwakasiyana, ibasa rei rinoitwa nemuenzaniso mudiki we'amateur'?

Iyo amateur's log-mikana inobviswa kubva kune nyanzvi, kudzima zvikanganiso zvakarongeka (sekufarira ma tokens) ayo ese mamodheru anogovana.

Sei kubvisa zvingangoitika zveaamateur zvichideredza kudzokorora uye kuburitsa bland?

Mhando dzose dziri mbiri dzinowanzoda-kunyanya-kuda kwepamusoro-frequency uye kudzokorora zviratidzo; kubvisa maamateur kunobvisa kurerekera kwakagovaniswa, kudzikisa sarudzo dzakapusa.

What does the adaptive plausibility constraint do in contrastive decoding?

The constraint removes low-expert-probability tokens before contrastive scoring; it does not certify the coherence or truth of the final output.

Zvingangove kuti chii chinonzi scoring formula mukusiyanisa decoding?

Mumwe nemumwe anenge akwikwidza anopihwa zvibodzwa sezvo nyanzvi yelogi-mukana kubvisa akaremerwa neamateur log-mukana, mibairo tokeni iyo nyanzvi inosanoda.

Ndeipi nzira inotevera inotambanudzira pfungwa yekusiyanisa kune imwe modhi yezvikamu zvayo?

DoLa inosiyanisa yekutanga nguva yemodhi (yekutanga-layer) uye yakakura (yanonoka-layer) fungidziro yekudzikisa kuona, kushandisa iyo yekusiyanisa pfungwa mukati memuenzaniso mumwe.