GUIDE teknik

Cache bu gaaw

Cache bu gaaw dafay may modelu IA bi mu jëfandikoowaat liggéeyu ordinatër bimu def ci benn mbind bu bari, moo gën ñu koy baamtu saa yu nekk.

2 simili jàngDañu mujjee yeesal

Résumé

It dramatically cuts cost and latency when the same long instructions, documents, or examples appear in request after request.

Plongeur bu xóot

When a language model reads a prompt, it converts every token into internal numerical states called key-value (KV) vectors through its attention layers. Normally this happens fresh on each request, even if 90% of the prompt is identical. Prompt caching stores those precomputed KV states for a marked prefix, so a later request that starts with the same text can skip straight to the new part. Providers like Anthropic and OpenAI expose this by letting you flag a stable prefix; cache hits are billed at a steep discount (often 90% off input cost) and respond faster. It is ideal for chatbots with fixed system prompts, RAG pipelines reusing the same documents, or agents replaying long histories.

Gis-gis xarala

Caching dafay dox ndax transformateur bi dafay bàyyi xel ci sabab bi: token bu nekk dafay bàyyi xel ci token yi ko jiitu. Kon KV dafa wax ni ab prefix du musa soppeeku soo yokke ay token yu bees ci ganaw. Cache bi dañu ko tënk ci token-for-token bu méngoo bu baax ak prefix bi, moo tax doonte benn araf buñ soppali ci ndoortelu laaj bi dafay baña baax lépp lu nekk ci suuf. Cache yi duñu yàgg (simili), ñu denc leen ci furnisër bu nekk, te blok biñ mëna cache dafa wara ëpp limu token yi gëna ndaw.

njeextalu pexe

Njëgg ak budget

Dogal yi architecture di jël dañuy indi njariñ ak njëgu liggéey bi ay at ci ginaaw.

dogal yu gëna leer

Njàngalem xarala yi dafay jàppale ekip yi ñu tànn li gën, te baña yam ci li gëna bees daal.

Xool kalite

Tanneef yu gëna baax ci wàllu ingeñër dina wàññi jafe-jafe yi ci wàllu wóor ci liggéey bi.

Ëlëgu cache bu gaaw

Xaarandil ni cache bi dina nekk otomatik te dina gëna gudd fan, ndax fournisseur yi dina ñu gis span yuñ mëna jëfandikoowaat moo gën ñuy laaj màrker yuñ defaree loxo. Cache hierarchique ak parsiel mën nañu may coppite yi ci diggu ab gaaw jëfandikoowaat segment yuñ soppiwul ci ñaari wetu yi. Bi agent yi di juggle contexte yu mag ak jaar-jaari jumtukaay, cross-session ak cross-user caches yuñ bokk ngir sistem bu ñuy laaj dina nekk caabi ngir def ay milioŋ-token ci wàllu koom-koom, te xeetu aparey yi dina ñu jëfandikoowaat KV bu noonu mel ngir inference local bu gaaw.

Doxal ci àdduna dëgg

Benn chatbot buy jàppale kiliyaan yi dafay denc politikam bu am 5000 token ak sistemu tone, suko defee bépp mesaasu jëfandikukat buy fay njëg bu mat sëkk ci laaj bu bees bi.

App retrieval-augmented (RAG) dafay cache benn yoon dokimaa royuwaay bu bari, ba noppi tontu laaj yu bari ci njëg yu néew.

Jàppalekatu kodage dafay cache ëmbiitu base codebase bu mag wala fichier ni prefix bu takku ci jamono ji developpeur bi di laaj ay laaj yu toppalante.

Agent IA dafay cache transcription bu guddu bi, di màgg ci jëfandikoo jumtukaay suko defee jéego bu bees bu nekk du facturewaat waxtaan wi njëkk yépp.

Risk yi ak balustrade yi

Optimize benn benchmark mën na nëbb ñakk kattan yu gëna yaatu ci sistem bi.

Njëg li ñuy fay ci infrastructure yi ak ci toppatoo dañuy faral di suufeel.

Bu sistem yi di gëna xawa jafee xam, jafe-jafe yi am ci wàllu kaaraange ak seetlu mën nañu gëna bari.

Roadmap ngir samp gi

1

Mandargal latency, kalite, ak njëg yi laata ngay jëfandikoo.

2

Benchmark ci biir sargal ak done yu dëggu.

3

Jumtukaay bi di saytu njuumte yi, derive bi ak njeextalu jëfandikukat bi.

4

Waajal rollback ak yooni tontu ci jafe-jafe yi laata ngay eskale.

Weyal di banneexu

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Gis bi ci topp

Kaaraange gu gaaw ci IA

Laaj yi ñuy faral di laaj

What is Prompt Caching?

Cache bu gaaw dafay may modelu IA bi mu jëfandikoowaat liggéeyu ordinatër bimu def ci benn mbind bu bari, moo gën ñu koy baamtu saa yu nekk. Dafay wàññi bu baax njëg ak latency sudee benn tegtal bu gudd, këyit, wala misaal feeñ ci laaj ginaaw laaj.

Lan mooy njëkka denc ak jëfandikoowaat prompt cache?

Caching dafay denc KV attention states yiñ xayma ngir ab prefix bu dëgër suko defee ñu baña xaymaat leen ci laaj bu nekk.

Lan moo waral ab prefix cache wara méngoo ndànk, token ak token?

Ndax token bu nekk dafay topp token yu njëkk yi kese, soppi token bu njëkk bi dafay dindi bépp etaa bu ko aju, di dog cache bi.

Ban senaario moo gëna am njariñ ci cache bu gaaw?

Caching dafay am njariñ sudee dañu jëfandikoowaat benn wàll bu yaatu, bu nuróo ci laaj yu bari, lu melni benn sistem bu takku wala këyit buñ bokk.

Lu tollu ci ñaata la hit cache yi di gëna xéewale ci token yiñ dugal ci furnisër yu mag yi?

Fournisseur yi dañuy faral di faktire ay dugal yuñ cache ci lu tollu ci 90% ci njëgu dugal yiñ jagleel, sabab bi gëna waral cache di sakkanal xaalis.

Fan lañu wara def ëmbiit liñ mëna jëfandikoowaat ngir gëna bari ay hit ci cache bi?

Teg ëmbiit bu dëgër bi njëkk ni prefix ak ëmbiit buy soppiku ci ganaw loolu dafay tax ñu jëfandikoowaat prefix biñ denc ci jamono ji token yu bees yi kese lañuy liggéey.