Overview
In-context kudzidza ndiko kugona kunoshamisa kwemhando dzemitauro mikuru kutora basa idzva kubva pamienzaniso mishoma yakaiswa mukukasira, pasina kudzidziswazve. Ndicho chikonzero iwe uchikwanisa 'kudzidzisa' modhi panhunzi nekungoiratidza zvaunoda.
In-Context Kudzidza chikamu chemutauro-AI stack inoshandiswa kuverenga, kugadzira, kuronga, uye kushandura zvinyorwa uye kutaura pamwero.
Deep Dive
Kazhinji, kudzidzisa neural network basa idzva zvinoreva kuvandudza uremu hwayo kuburikidza nekudzidziswa. Kudzidza-mukati-kati kwakasiyana: unonyora mienzaniso mishoma yakananga mukuchimbidzo ('mamiriro'), uye modhi yacho inokanganisa patani uye yoishandisa kune imwe nyowani. Hapana chinhu mukati memuenzaniso chinoshanduka; mienzaniso inongotungamira kufanotaura kunotevera-chiratidzo. Iwe uchanzwa 'zero-pfuti' (murairo chete), 'imwe-pfuti' (mumwe muenzaniso), uye 'vashoma-pfuti' (mienzaniso yakati wandei). Maitiro aya akafarirwa neGPT-3 muna 2020 uye akazova kugona kusimuka: mamodheru madiki haagone kuzviita, asi apfuura angangoita 100-bhiriyoni-parameta chiyero, chokwadi pane mashoma-pfuti anokwira zvakanyanya. Iyo modhi yakanyatso dzidza kuziva nekuenderera mberi nemaitiro panguva yepretraining, saka inogona kushandisa zvakare hunyanzvi uhu panguva yekufungidzira.
Technical Insight
Tsvagiridzo yekududzira yakatsvaga kwakawanda kwekugona uku ku 'induction misoro' - maseketi ekutarisisa anobuda panguva yekudzidziswa uye kuita zvisinganzwisisike prefix-kuenzanisa: vanotarisa kumashure kuti pane pakabuda chiratidzo chakafanana, vobva vatevedzera zvakaitevera. Saka kana kukurumidza kwako kuchiratidza 'apuro -> muchero, karoti -> muriwo', modhi inoenderana nechimiro uye inofanotaura iyo chaiyo label yechinhu chinotevera. Sezvineiwo, hapana gradients inoyerera uye hapana uremu hunogadziridza pakufungidzira. Mienzaniso inongogadzirisa zvakare ma activation ayo anodyisa inotevera-tokeni mukana wekugovera.
Kudzidza Mu-Context Kudzidza
In-context kudzidza ndiko kugona kunoshamisa kwemhando dzemitauro mikuru kutora basa idzva kubva pamienzaniso mishoma yakaiswa mukukasira, pasina kudzidziswazve. Ndicho chikonzero iwe uchikwanisa 'kudzidzisa' modhi panhunzi nekungoiratidza zvaunoda. In-Context Kudzidza chikamu chemutauro-AI stack inoshandiswa kuverenga, kugadzira, kuronga, uye kushandura zvinyorwa uye kutaura pamwero. Kuti uvake kunzwisisa kwakadzama, bata In-Context Kudzidza semuenzaniso wekushandisa, kwete chinhu chimwe chete: tsanangura zvinodiwa, kujekesa fungidziro, uye patsanura izvo zvinogona kuitwa nehurongwa hwakavimbika kubva kune zvichiri kuda kutonga kwenyanzvi.
Mukuita, zvikwata zvakasimba zvinoshandisa In-Context Kudzidza dhizaini zvinokurudzira, kudzoreredza, uye kuongorora zvishwe seimwe yakabatanidzwa yekutaurirana system. Ivo vanonyora zvakajeka maitiro ebudiriro, bvunzo vachipokana ne data rechokwadi uye mafambiro ebasa, uye iterate zvichibva pane zvakacherechedzwa maitiro ekutadza kwete kuhwina-nguva imwe chete yebhenji. Apa ndipo apo kunzwisisa kwe theoretical kunoshanduka kuve kugona kwakasimba pane chigadzirwa, mutemo, uye mashandiro.
Mutauro workflows inogona kufamba nekukurumidza pasina kupira kuenderana. Panguva imwecheteyo, chokwadi cheHallucified chinogona kupinda chinyararire mishumo, kuyerera kwetsigiro, kana kutsvagisa zvinobuda. Nzira yakatsiga ndeyekubatanidza kukurumidza kuyedza nekutonga: mhanyisa vatyairi vendege, tora humbowo, buritsa matanda esarudzo, uye urambe uchivandudza chengetedzo semaitiro emuenzaniso, zvinotarisirwa nemushandisi, uye zvinodikanwa zvekutonga.
Strategic Impact
Mutauro workflows inogona kufamba nekukurumidza pasina kupira kuenderana.
Mutauro workflows inogona kufamba nekukurumidza pasina kupira kuenderana. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Inopamhidzira kupinda mumitauro yese nemataera ekutaurirana.
Inopamhidzira kupinda mumitauro yese nemataera ekutaurirana. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Zvikwata zvinogona kupedza nguva yakawanda pakutonga uku otomatiki ichibata kudzokorora.
Zvikwata zvinogona kupedza nguva yakawanda pakutonga uku otomatiki ichibata kudzokorora. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Real-World Implementation
Kupa chatbot mitsara mitatu yekutsigira matikiti uye mapoka avo, wobva waita rongedza tikiti nyowani nenzira imwechete
Kuratidza modhi mbiri pamberi/pashure pemavara akashata akagadziridzwa kuita JSON yakachena saka inoshandura zvimwe.
Kunamira akati wandei echigadzirwa tsananguro mune toni yerudzi rwako kuitira kuti zvitsva zvienderane nechimiro
Kuratidza inonyengera izwi remasvomhu-dambudziko rakashanda nhanho nhanho kuti modhi igadzirise matambudziko akafanana neyakafanana fomati yekufunga.
Maitiro Ekuita
In-Context Kudzidza mukuita
Kupa chatbot mitsara mitatu yekutsigira matikiti uye mapoka avo, wobva waita rongedza tikiti nyowani nenzira imwechete.
Kupa chatbot mienzaniso mitatu yekutsigira matikiti uye zvikamu zvawo, wobva waisa tikiti nyowani nenzira imwechete Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
In-Context Kudzidza mukuita
Kuratidza modhi mbiri pamberi/pashure pemavara akashata akagadziridzwa kuita JSON yakachena saka inoshandura mamwe.
Kuratidza modhi mbiri pamberi/pashure pemapeji akashata mameseji akagadziridzwa kuita yakachena JSON saka inoshandura mamwe Matimu akasara anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
In-Context Kudzidza mukuita
Kunamira akati wandei echigadzirwa tsananguro mune toni yerudzi rwako kuitira kuti zvitsva zvienderane nechimiro.
Kunamira akati wandei emuenzaniso tsananguro yechigadzirwa mutoni yerudzi rwako kuitira kuti zvitsva zvienderane nemaitiro Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye tarisa zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
In-Context Kudzidza mukuita
Kuratidza inonyengera izwi remasvomhu-dambudziko rakashanda nhanho nhanho kuitira kuti modhi igadzirise matambudziko akafanana neiyo yakafanana fomati yekufunga.
Kuratidza hunyengeri hwemasvomhu izwi-dambudziko rakashanda nhanho nhanho kuitira kuti modhi igadzirise matambudziko akafanana neiyo yekufunga fomati Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
Njodzi & Guardrails
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.
Implementation Roadmap
Tsanangura chimiro chekubuda, toni, uye mhando zviyero usati waburitsa.
Tsanangura chimiro chekubuda, toni, uye mhando zviyero usati waburitsa. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Mhinduro dzepasi neakavimbika masosi pese pazvine basa.
Mhinduro dzepasi neakavimbika masosi pese pazvine basa. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Chengetedza ongororo yekuongorora yemunhu kune yakakwira-stake zvinobuda.
Chengetedza ongororo yekuongorora yemunhu kune yakakwira-stake zvinobuda. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Tevera maitiro ekutadza uye dzidzisazve kukurudzira kana mafambiro ebasa nguva nenguva.
Tevera maitiro ekutadza uye dzidzisazve kukurudzira kana mafambiro ebasa nguva nenguva. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.