Overview
Typical sampling inzira yekugadzira zvinyorwa inotora izwi rinotevera kubva kumatokeni ane ruzivo rwemukati rwunogara pedyo nekukatyamadzwa kunotarisirwa nemuenzaniso, pane kugara uchibata iwo angangoita. Inovavarira kuburitsa kunonzwa sechisikigo uye sevanhu-kufananidza kuti mutauro chaiwo unoyera sei kufanotaura uye hutsva.
Typical Sampling chikamu chemutauro-AI stack inoshandiswa kuverenga, kugadzira, kuronga, uye kushandura zvinyorwa uye kutaura pamwero.
Deep Dive
Kana chimiro chemutauro chichifanotaura chinotevera chiratidzo, chinoburitsa mukana wekugovera pamusoro pezviuru zvesarudzo. Nzira dzekukara uye dzepamusoro-k dzinofarira ma tokens epamusoro, ayo anogona kuita kuti mavara adzokorore uye asina kujeka. Yakajairika sampling, yakaunzwa naMeister uye vaanoshanda navo muna 2022, inotora imwe kona yakadzika midzi mudzidziso yeruzivo. Iyo modhi inoverengera inotarisirwa ruzivo rwemukati (iyo entropy yekugovera). Tokens anozopihwa nekureba kwavo kushamisika kunogara kubva kune iyo tarisiro. Sampling yakajairika inochengeta seti yematokens ayo anoshamisika ari padyo neavhareji kudzamara mukana wavo wakasanganiswa wasvika pachikumbaridzo, zvino masampuli kubva kune iyo seti. Mhedzisiro yacho ndeyezvinyorwa zvisingashamisi kana kuti zvinongo fungidzirika, zvichiratidzira nzira iyo vanhu vanongogara vachitaurirana nayo pedyo nemwero wakatsiga weruzivo.
Technical Insight
Kune yega yega tokeni modhi inoverengera zvinoshamisa, iyo yakaipa log-mukana. Iyo zvakare inoverengera iyo inomisikidzwa entropy, iyo mukana-yakayerwa avhareji kushamisika pamusoro pese tokens. Yakajairika sampling renji ma tokens nemusiyano wakakwana pakati pekukatyamadza kwavo uye iyo entropy, wobva wawedzera nemakaro ma tokeni kusvika mukana wavo wekuwedzera warova parameter tau (kazhinji kutenderera 0.9 kusvika 0.95). Sampling inoitika chete mukati meiyi yemuno yakajairwa seti, ichidzvanyirira zvese zvakanyanyisa kunze uye zvakapusa zvakakwirira-zvingangoita mapikicha.
Mastering Typical Sampling
Typical sampling inzira yekugadzira zvinyorwa inotora izwi rinotevera kubva kumatokeni ane ruzivo rwemukati rwunogara pedyo nekukatyamadzwa kunotarisirwa nemuenzaniso, pane kugara uchibata iwo angangoita. Inovavarira kuburitsa kunonzwa sechisikigo uye sevanhu-kufananidza kuti mutauro chaiwo unoyera sei kufanotaura uye hutsva. Typical Sampling chikamu chemutauro-AI stack inoshandiswa kuverenga, kugadzira, kuronga, uye kushandura zvinyorwa uye kutaura pamwero. Kuti uvake kunzwisisa kwakadzama, bata Typical Sampling semuenzaniso wekushandisa, kwete chinhu chimwe chete: tsanangura zvaunoda, kujekesa fungidziro, uye patsanura izvo zvinogona kuitwa nehurongwa hwakavimbika kubva kune zvichiri kuda kutonga kwenyanzvi.
Mukuita, zvikwata zvakasimba zvinoshandisa Typical Sampling 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
Kugadzira ngano kana nhetembo uko kudhirodha kwemakaro kunoburitsa nganonyorwa, inodzokororwa uye vanyori vanoda zvimwe zvakasiyana.
Powering chatbot mhinduro dzinodzivirira marobhoti, formulaic zvirevo uchiramba wakabatana uye uri pamusoro-musoro.
Inowanikwa semureza wekudhikodha (yakajairika_p) muHugging Face Transformers yevagadziri varikuvhura-source modhi inobuda.
Inoshandiswa muLLM nguva dzekumhanya senge llama.cpp uye text-generation-webui seimwe nzira yekuenda kumusoro-p kune yakapfuma, isina kushomeka mavara.
Maitiro Ekuita
Typical Sampling mukuita
Kugadzira ngano kana nhetembo uko kudhirodha kwemakaro kunoburitsa nganonyorwa, inodzokororwa uye vanyori vanoda zvimwe zvakasiyana.
Kugadzira ngano kana nhetembo uko kudhirowa kwemakaro kunoburitsa yakapusa, inodzokorodza prose uye vanyori vanoda mamwe akasiyana echisikigo Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura hunhu hwepamberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
Typical Sampling mukuita
Powering chatbot mhinduro dzinodzivirira marobhoti, formulaic zvirevo uchiramba wakabatana uye uri pamusoro-musoro.
Powering chatbot mhinduro dzinodzivirira marobhoti, manyorerwo emazwi achiramba akabatana uye ari pamusoro-musoro Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura mhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
Typical Sampling mukuita
Inowanikwa semureza wekudhikodha (yakajairika_p) muHugging Face Transformers yevagadziri varikuvhura-source modhi inobuda.
Inowanikwa senge decoding mureza (yakajairika_p) muHugging Face Transformers yevagadziri vanogadzira yakavhurika-sosi modhi yekubuda Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa nemitengo yekukanganisa nekufamba kwenguva.
Typical Sampling mukuita
Inoshandiswa muLLM nguva dzekumhanya senge llama.cpp uye text-generation-webui seimwe nzira yekuenda kumusoro-p kune yakapfuma, isina kushomeka mavara.
Inoshandiswa munguva dzekumhanya dzeLLM dzemuno senge llama.cpp uye zvinyorwa-chizvarwa-webui seimwe nzira yekuenda kumusoro-p kune yakapfuma, isina kushomeka mavara 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.