LCM: Yakarasika Context Management [pdf]

Lossless Context Management (LCM) igadziriro yekuchengetedza kuvimbika kuzere kweruzivo sezvo ichiyerera kuburikidza neAI-inotyairwa masisitimu, kuve nechokwadi kuti hapana data yakakosha inoraswa kana kumanikidzwa panguva yekugadziriswa. Kune mabhizinesi emazuva ano anotonga mashandiro akaomarara pane akawanda maturusi uye mafambiro ebasa, kunzwisisa misimboti yeLCM kwakakosha kuti uwane zvakanyanya kubva kune hungwaru automation mapuratifomu.

Chii Chaizvo Chinonzi Lossless Context Management uye Nei Zvine Basa?

Masisitimu echinyakare eAI anotarisana nechisungo chakakosha: mahwindo emukati ane magumo anogumira. Kana iyo miganho yasvikwa, ruzivo rwechikuru kana runoratidzika kunge rusina basa runodonhedzwa - maitiro anonzi kurasikirwa nekumanikidza. LCM inogadzirisa izvi nekushandisa mazano ekuvaka anochengetedza chidimbu chese chine musoro chechikamu mukati meseshini yese kana mafambiro ebasa, kudzivirira kuderedzwa kweruzivo kunotungamira kune zvisingaenderane zvinobuda, kuputswa kwecheni dzekufunga, uye kukanganisa kunodhura.

Munzvimbo dzemabhizinesi, masikisi akakwira. Mutengi anotsigira AI inokanganwa hafu yekutanga yehurukuro, kana mubatsiri manejimendi wepurojekiti anorasikirwa nesarudzo dzekutanga, anogadzira kupokana kwete kugona. LCM inova nechokwadi chekuti mufananidzo uzere unogara uripo kuhurongwa hwekuita sarudzo panzvimbo yako.

Ko Core Mechanisms eLCM Anonyatsoshanda Sei?

LCM inoshanda kuburikidza akati wandei anopindirana tekinoroji nzira dzinoshanda pamwechete kuchengetedza kutendeka kwechirevo. Pane kuvimba nenzira imwe chete, kusimba kusingarasikike kwemamiriro ekunze kunobatanidza nzira dzakawanda:

• Hierarchical memory structures — Ruzivo rwunochengetwa mumatanho akaiswa (working memory, episodic memory, semantic memory), zvichibvumira sisitimu kuti itorezve mamiriro akakodzera padanho rekurudyi pasina kuwandisa maitiro anoshanda.
• Context compression with reversibility — Kusiyana nenzira dzakarasika, kutsikirira kunodzoreredzwa kunopfupikisa zvirimo nenzira dzinokwanisa kukwidziridzwa kuti dzidzorerwe kuzere kana zvichidiwa, kuchengetedza kugona kuvaka patsva zvazvaireva.
• Dynamic context prioritization — Kukosheswa kwezvibodzwa kunoramba kuchiisa zvibodzwa zvekare kuti ndeupi ruzivo runoramba ruchishanda, zvichienderana nebasa razvino kwete rezvinongoitika, saka mamiriro ekutanga akakosha haamboraswa.
• Kudzosa ndangariro dzekunze (RAG kusanganisa) — Kudzoreredza-Yakawedzerwa Generation inobvumira sisitimu kuti idhonze mamiriro chaiwo kubva kuchitoro chekunze chinoramba ichienderera, ichiwedzera zvinobudirira hwindo remukati nekusingaperi pasina kukanganisa kurongeka.
• State checkpointing — Iyo sisitimu nguva nenguva inochengetedza mamiriro akazara echeni yekufunga, ichigadzira kudzorera mapoinzi anodzivirira kukanganwa kunotyisa panguva yemabasa akawanda-nhanho.

LCM Inofananidzwa Sei neMabatiro Echinyakare Mabatiro Emaitiro?

Musiyano uripo pakati pekusarasikirwa uye wakajairwa manejimendi ezvemamiriro ekunze unova wakajeka kana uchiongororwa parutivi. Yakajairwa truncation-yakavakirwa masisitimu anongocheka ma tokeni ekare kana hwindo rinozadza - nekukurumidza, asi rinoparadza. Pfupiso-inomisikidzwa inopfupisa nhaurirano yekutanga kuita pfupiso, iyo inochengetedza imwe chiratidzo asi zvisingadzivisiki inorasa nuance uye chaiyo chaiyo iyo inogona kuve yakakosha gare gare.

"Musiyano uripo pakati pekurasikirwa uye kusarasikirwa kwekugadzirisa mamiriro ndiwo mutsauko uripo pakati pebhizinesi rinokanganwa zvakataurwa nevatengi varo mwedzi wapfuura uye iro rinorangarira zvese zvakakosha - iyo yekupedzisira inovaka kuvimba, kugona, uye kusanganisa njere nekufamba kwenguva."

LCM inokunda dzimwe nzira dziri mbiri muzviitiko zvinoda kufunga kwenguva refu: kuongororwa kwegwaro remutemo, kuronga kwepurojekiti yezvikamu zvakawanda, nzendo dzakaoma dzevatengi, uye kuongororwa kwemari zvese zvinoda kuti hapana ruzivo rwakakodzera runorasika mukududzirwa. Ongororo dzeEmpirical dzezvivakwa zvakamisikidzwa zveLCM dzinogara dzichiratidza mwero yezvikanganiso yakaderera pamabasa anoda kuenderera mberi kwechikamu uye zvakanatsiridza zvibodzwa zvekubatana mukudyidzana kwe-multi-turn AI.

Kutumira LCM pachikero hakusi pasina kupokana. Dambudziko rekutanga reinjiniya mutengo wecomputing - kuchengetedza mamiriro akazara kunoda kurangarira kwakawanda, mamwe mabasa ekudzoreredza, uye yakanyanya kuomesesa indexing masisitimu pane akareruka truncation mazano. Kune zvikwata zvinovaka kana kusarudza mapuratifomu ane simba reAI, izvi zvinoreva kuongorora kuti zvivakwa zvemutengesi hazvina kurasikirwa zvechokwadi here kana kuti kungoshambadza nzira dzekurasika dzisina kurasikirwa.

Latency imwe pfungwa. Kutora kubva kunze kwezvitoro zvendangariro kunowedzera milliseconds kune yega inference nhanho, iyo inosanganisa mune chaiyo-nguva maapplication. Mashandisirwo akanakisa anofanotora angangove mamiriro mukufambirana kwete kutevedzana, kuchengetedza nguva dzekupindura dzichigamuchirwa pasina kupira kukwana. Kutonga kwedata kunowedzerawo kunetsa: kana chidimbu chega chega chikaramba chichichengetwa, masangano anofanirwa kudzika mitemo yakajeka maererano neruzivo rwunoramba rwuripo, kwenguva yakareba sei, uye ndiani anogona kurwuwana - kunyanya kana uchibata bhizinesi rine hunyanzvi kana data revatengi.

Mabhizinesi Angashandisa Sei Misimboti yeLCM Kuti Vavandudze Mafambisirwo Avo?

Kuvatungamiriri vebhizinesi, LCM haina kunzwisisa magadzirirwo emagetsi uye zvimwe nezvekuda kuenderera mberi nehungwaru kubva kumapuratifomu avanoshandisa. Kana mubatsiri webhizinesi reAI achikwanisa kurangarira zvibodzwa zvawaisa muna Ndira uchiita basa muna Chikunguru, ndiyo LCM iri kushanda mukudzidzira. Kana yako otomatiki workflows inotakura ruzivo ruzere rwekutanga kwevatengi kudyidzana mune yega yega touchpoint, iyo LCM inotyaira zvirinani.

Mapuratifomu akavakirwa nemisimboti yeLCM pamusimboti wawo anogonesa kusanganisa njere dzesangano - kudyidzana kwega kwega kunoita kuti sisitimu ishande pane kugadziridza pazero. Ndosaka sarudzo dzezvivakwa dzakaitwa nevapeji vepuratifomu veAI dzichikosha zvakanyanya kumabhizinesi anovimba navo pamabasa akakosha.

Mibvunzo Inowanzo bvunzwa

Ko kusarasikirwa kwezvigadziriso kwakafanana nekuva nehwindo hombe remamiriro ezvinhu?

Kwete chaizvo. Iwindo rakakura remamiriro ekunze rinowedzera huwandu hweruzivo rwunokwana mundangariro inoshanda kamwechete, asi ichiri magumo uye ichiri pasi pekuderedzwa. LCM yechokwadi inoenderera mberi nekubatanidza mahwindo akawedzerwa nekutora kwekunze, ndangariro dzehumambo, uye manejimendi ehurumende kuona kuti hapana chinorasika zvachose - zvisinei nehurefu hwesesheni kana kuomarara.

Ko LCM inoita kuti masisitimu eAI aite zvishoma kana kudhura kumhanya here?

Iko kune chaiyo computational pamusoro, asi yakanyatso gadziridzwa LCM mashandisirwo anoderedza kukanganisa kuburikidza neyakafanana kudzoreredza, hungwaru caching, uye yakasarudzika mamiriro ekurodha. Pamashandisirwo mazhinji ebhizinesi, huroyi uye kuenderana kunowanikwa kunokunda zvakanyanya kukwira kwemutengo, kunyanya kana kukanganisa kubva kune yakarasika mamiriro ekuita iwo ega mitengo yekudzika munguva uye kuvimba.

Ndinoziva sei kana chikuva chebhizinesi chandiri kuongorora chichishandisa manejimendi chaiwo asina kurasikirwa?

Bvunza vatengesi kuti vanobata sei mamiriro ekunze kupfuura hwindo ravo rinoshanda, maitiro avanoita mafambisirwo ebasa kwenguva refu kana akawanda-sesheni, uye kuti vanoshandisa nzira dzekudzoreredza. Mapuratifomu anogona kuratidza kuenderera mberi kwendangariro mukati mezvirongwa, kufunga kunoenderana pamagwaro marefu, uye akabatana akawanda-nhanho otomatiki zviratidzo zvakasimba zveLCM-yakarongeka architecture.

Kutonga mamiriro pasina kurasikirwa hakusi kungonaka kwehunyanzvi - ndiyo hwaro hweAI masisitimu ayo mabhizinesi anogona kunyatsovimba neakakosha workflows. Kana wakagadzirira kuona bhizinesi rakangwara rakagadzirirwa kuti rienderere mberi, tanga rwendo rwako rweMewayz nhasi paapp.mewayz.com. Iine mazana maviri nenomwe akasanganiswa mamodule anoshanda vanopfuura 138,000, Mewayz inopa mhando yeakabatana, inoziva mamiriro ebhizinesi inoshanda inoshandura yakapararira data kuita musanganiswa wehungwaru hwesangano - kutanga pamadhora gumi nepfumbamwe chete pamwedzi.