Dukanya LLMs mu kitundu mu Flutter nga <200ms latency

\u003ch2\u003eDdukanya LLMs mu kitundu mu Flutter nga <200ms latency\u003c/h2\u003e \u003cp\u003eEtterekero lino erya GitHub ery'enkozesa enzigule likiikirira ekintu ekinene ekiyamba mu nkola y'obutonde bw'ensi. Pulojekiti eno eraga enkola z'enkulaakulana ez'omulembe n'okuwandiika enkoodi ez'okukolagana.\u003c/p\u003e \u003ch3\u003eEbikozesebwa mu by'ekikugu\u003c/h3\u003e \u003cp\u003eEtterekero liyinza okubaamu:\u003c/p\u003e \u003cul\u003e \u003cli\u003eKoodi ennyonjo, ewandiikiddwa obulungi\u003c/li\u003e \u003cli\u003eREADME enzijuvu n'ebyokulabirako by'enkozesa\u003c/li\u003e \u003cli\u003eEbiragiro by'okulondoola okufulumya n'okuwaayo\u003c/li\u003e \u003cli\u003eOkulongoosa buli kiseera n'okuddaabiriza\u003c/li\u003e \u003c/ul\u003e nga bwe kiri \u003ch3\u003eEkikosa ekitundu\u003c/h3\u003e \u003cp\u003ePulojekiti eziggule nga eno zikuza okugabana okumanya n'okwanguyiza obuyiiya obw'ekikugu nga ziyita mu koodi ezituukirirwa n'enkulaakulana ey'okukolagana.\u003c/p\u003e

Ebibuuzo Ebitera Okubuuzibwa

Kitegeeza ki okuddukanya LLM mu kitundu mu Flutter?

Okuddukanya LLM mu kitundu kitegeeza nti model ekola yonna ku kyuma ky'omukozesa — tewali kuyita kwa API, tewali kwesigama ku kire, tekyetaagisa yintaneeti. Mu Flutter, kino kituukibwako nga tukwataganya model ya quantized era nga tukozesa native bindings (nga tuyita mu FFI oba platform channels) okuyita inference butereevu ku device. Ekivaamu bwe busobozi obujjuvu obutali ku mutimbagano, zero data-privacy concerns, n'okuddamu latencies eziyinza okugwa bulungi wansi wa 200ms ku mobile hardware ey'omulembe.

LLM ki entono ezisobola okutambulira ku kyuma eky'omu ngalo?

Models mu 1B–3B parameter range nga zirina 4-bit oba 8-bit quantization ze kifo ekiwooma eky’omugaso eri essimu. Ebifo ebimanyiddwa ennyo mulimu Gemma 2B, Phi-3 Mini, ne TinyLlama. Ebika bino bitera okutwala 500MB–2GB of storage era bikola bulungi ku byuma bya Android ne iOS eby’omutindo ogwa wakati. Bw’oba ozimba ekintu ekigazi ekikozesa AI, emikutu nga Mewayz (207 modules, $19/mo) zikuleetera okugatta okuteebereza ku kyuma n’enkola z’emirimu egy’okugwa emabega mu kire awatali kuzibuwalirwa.

Mu butuufu sub-200ms latency etuukirizibwa etya ku ssimu?

Okutuuka wansi wa 200ms kyetaagisa ebintu bisatu okukolagana: model eya quantized ennyo, runtime optimized for mobile CPUs/NPUs (nga llama.cpp oba MediaPipe LLM), n'okuddukanya obulungi memory kale model esigala nga ebuguma mu RAM wakati w'okuyita. Okuteeka obubonero obusaba mu kibinja, okutereka embeera y’omuwendo gw’ekisumuluzo, n’okutunuulira okusirika kw’obubonero obusooka okusinga okusirika okw’omutendera omujjuvu bwe bukodyo obusookerwako obusika ebiseera by’okuddamu mu bbanga eritali lya 200ms ku bibuuzo ebimpi.

Okuteebereza kwa LLM okw'omu kitundu kusinga okukozesa API y'ekire ku pulogulaamu za Flutter?

Kisinziira ku nkozesa yo. Okuteebereza kw’ekitundu kuwangula ku by’ekyama, obuwagizi obutali ku mutimbagano, ne zero buli kusaba — kirungi nnyo ku data enzibu oba okuyungibwa okutambula obutasalako. Cloud APIs ziwangula ku busobozi obubisi n'obuggya bwa model. Apps nnyingi ez’okufulumya zikozesa enkola ey’omugatte: zikwata emirimu emitono ku kyuma n’okuyisa ebibuuzo ebizibu ku kire. Bw’oba ​​oyagala eky’okugonjoola ekijjuvu nga eby’okulonda byombi bimaze okugatta, Mewayz kino kibikka n’omukutu gwayo ogwa modulo 207 okutandika ku $19/mo.