Fa'asa'oina o le Lumana'i ole Fa'ata'ita'iga Fa'atonu a le AI-Driven Software: Ta'iala mo le Tu'ufa'atasia ma Fa'ateleina | B4N1

Fa'asa'oina o le Lumana'i ole Fa'ata'ita'iga Fa'atonu a le AI-Driven Software: Ta'iala mo le Tu'ufa'atasia ma Fa'ateleina

9 months ago · b4n1 Read time: 5 min

Folasaga

O le televave o le atinaʻeina o le atamai faʻapitoa (AI) ua faʻafouina ai le atinaʻeina o polokalama faʻapipiʻi, mafai ai e faʻalapotopotoga ona fausia ni faiga sili atu le atamai, fetuutuunai, ma tali atu. A'o fa'aauau pea ona aga'i i luma le agava'a AI, o le tu'ufa'atasia o nei tekonolosi i totonu o le fausaga fa'akomepiuta ua avea ma itu taua o le tumau ai i le fa'atauva'a i le si'osi'omaga fa'atekonolosi televave i aso nei. I totonu o lenei tusiga, o le a matou suʻesuʻeina taʻiala mo le tuʻufaʻatasia lelei o agavaʻa AI i totonu o le fausaga faakomepiuta, faʻaleleia le faʻalauteleina, faʻatinoga, ma fetuutuunai.

Le Taua ole Faiga Fa'akomepiuta Fa'ata'ita'i ole AI

AI-driven software architecture e ofoina atu le tele o faʻamanuiaga, e aofia ai:

  • Fa'aleleia le faia o fa'ai'uga: E mafai e faiga fa'ale-AI ona su'esu'eina le tele o fa'amaumauga, e maua ai fa'amatalaga e logoina ai fa'ai'uga pisinisi.
  • Faʻaleleia atili le poto masani a tagata faʻatau: AI-drived chatbots ma virtual assistants e mafai ona ofoina atu le lagolago faʻapitoa, faʻateleina le faamalieina o tagata faʻatau.
  • Faateleina le lelei: AI e mafai ona otometi galuega faifaipea, faʻasaʻoloto punaoa mo nisi fuafuaga faʻapitoa.
  • Tulaga fa'atauva: Fa'alapotopotoga e fa'apipi'i fa'alelei le agava'a AI i totonu o latou fausaga fa'akomepiuta e mafai ona maua se tulaga fa'atauva taua.

Ta'iala mo le Tu'ufa'atasi

Ina ia faʻaoga lelei le faʻaogaina o le AI i totonu o le fausaga faʻapipiʻi, e tatau i faʻalapotopotoga ona mafaufau i taʻiala nei:

1. Tulaga Faufautua

O se fausaga faʻapitoa e mafai ai ona tuʻueseese popolega, faʻafaigofie ona tuʻufaʻatasia le gafatia AI e aunoa ma le faʻalavelaveina o faiga o iai. O lenei faiga e aofia ai le talepeina i lalo o le polokalama i ni vaega laiti, tutoatasi, taitasi e nafa ma se galuega patino.

# Faʻataʻitaʻiga o se fausaga faʻapitoa e faʻaaoga ai le Python
vasega AI_Module:
    def __init__(self):
        self.model = Leai

    def nofoaafi(tagata, faʻamatalaga):
        # Aʻoaʻo faʻataʻitaʻiga AI faʻaaogaina faʻamaumauga
        pasi

    def vavalo(tagata, fa'aoga):
        # Faʻaaoga faʻataʻitaʻiga aʻoaʻoina e fai ai faʻamatalaga
        pasi

vasega Business_Module:
    def __init__(self):
        self.ai_module = Leai

    def process_data(tagata, faamatalaga):
        # Faʻasologa o faʻamatalaga e faʻaaoga ai le AI module
        pasi

2. Tulaga Fa'ata'ita'i Fa'ata'ita'i (SOA)

O le SOA e aofia ai le talepeina o le polokalama i totonu o se aofaʻiga o auaunaga, taʻitasi e nafa ma se galuega faʻapitoa. O lenei faiga e mafai ai e faʻalapotopotoga ona tuʻufaʻatasia gafatia AI e ala i le fatuina o auaunaga fou e fegalegaleai ma mea o iai.

// Fa'ata'ita'iga o se fa'ata'ita'iga fa'aau'aunaga e fa'aaoga ai Rust
fa'aoga actix_web::{web, App, HttpServer};

struct AIService {
    fa'ata'ita'iga: Option<AIModel>,
}

impl AIService {
    async fn train(&mut self, data: web::Json<Vec<f64>>) -> Result<(), std::io::Sese> {
        // Aʻoaʻo faʻataʻitaʻiga AI faʻaaogaina faʻamaumauga
        Ua lelei(())
    }

    async fn predict(&self, input: web::Json<Vec<f64>>) -> Result<f64, std::io::Sese> {
        // Fa'aoga le fa'ata'ita'iga ua a'oa'oina e fai ai valo'aga
        Ua lelei(())
    }
}

struct BusinessService {
    ai_service: web::Auaunaga<AIService>,
}

impl BusinessService {
    async fn process_data(&self, data: web::Json<Vec<f64>>) -> Result<(), std::io::Sese> {
        // Fa'agasolo fa'amaumauga e fa'aaoga ai le auaunaga AI
        Ua lelei(())
    }
}

3. Faiga-Fa'ata'ita'i Fa'ata'ita'i (EDA)

O le EDA e aofia ai le faʻatulagaina o polokalama faʻapitoa e uiga i mea tutupu, faʻatagaina faʻalapotopotoga e tuʻufaʻatasia le gafatia AI e ala i le fatuina o tagata faʻatautaia fou e fegalegaleai ma mea o iai.

// Fa'ata'ita'iga o se fa'ata'ita'iga fa'apitoa e fa'aogaina ai le Go
afifi autu

faaulufale mai (
	"tulaga"
	"fmt"
	"tusi"

	"github.com/google/uuid"
)

type AIEvent struct {
	ID manoa
	Ituaiga manoa
	Fa'amatalaga []byte
	Fa'agaioiina bool
}

ituaiga AIEventHandler struct{}

func (h *AIEventHandler) HandleEvent(ctx context.Context, event *AIEvent) sese {
	// Fa'agasologa o mea na tutupu e fa'aaoga ai tomai AI
	toe foi e leai
}

galuega autu() {
	// Fausia mea e fa'afoeina
	eventHandler := &AIEventHandler{}

	// Fausia mea na tupu
	mea na tupu := &AIEvent{
		ID: uuid.NewString(),
		Ituaiga: "valoaga",
		Fa'amatalaga: []byte("fa'ata'ita'iga fa'amaumauga"),
		Fa'atonu: sese,
	}

	// Taulima le mea na tupu
	afai e sese := eventHandler.HandleEvent(context.Background(), event); sese != leai {
		log.Fatal(sese)
	}
}

Mana'oga Fa'ateleina

A'o fa'aauau pea ona aga'i i luma le agava'a AI, ua avea le fa'alauteleina o se mea taua tele. E tatau i fa'alāpotopotoga ona fa'amautinoa e mafai e a latou fa'atekonolosi fa'akomepiuta ona fa'atautaia le fa'ateleina o fefa'ataua'iga, aofa'i o fa'amaumauga, ma mana'oga fa'akomepiuta.

1. Fa'asa'o Fa'asaga'i

Fa'asa'o fa'asaga e aofia ai le fa'aopoopoina o le tele o punaoa (fa'ata'ita'iga, servers, containers) e fa'atautaia ai le fa'ateleina o feoaiga ma fa'amaumauga.

# Faʻataʻitaʻiga o le faʻataʻitaʻiina o le faʻaogaina o le Python
faaulufale mai os
from flask import Flask, talosaga

app = Flask(__name__)

@app.route('/predict', method=['POST'])
def vavalo():
    # Talosaga faʻagasologa e faʻaaoga ai tomai AI
    toe fa'afo'i 'I'uga o valo'aga'

afai __igoa__ == '__main__':
    # Faʻatonu le talosaga i luga o le tele o tagata faigaluega
    app.run_workers(4)

2. Va'ai Tu'usa'o

Ole fua fa'atutusa e aofia ai le fa'ateleina o puna'oa (fa'ata'ita'iga, PPU, manatua) o 'au'aunaga ta'itasi po'o koneteina e fa'atautaia le fa'ateleina o feoaiga ma fa'amaumauga.

# Faʻataʻitaʻiga o le faʻaogaina o le faʻaogaina o le Docker
docker run -d --name ai-service \
  -p 8080:8080 \
  -e PPU=4 \
  -e FAAMANATU=16G \
  lo'u-ai-ata

Va'aiga

Ina ia malamalama atili i le aʻafiaga o faʻataʻitaʻiga polokalama faʻapipiʻi AI, e mafai ona tatou faʻaogaina meafaigaluega faʻaaliga e faʻatusalia ai sootaga i le va o vaega ma faʻamaumauga.

{
  "type": "pa",
  "fa'amatalaga": {
    "labels": ["AI Module", "Business Module", "Database"],
    "fa'amaumauga": [
      {
        "label": "Fa'amatalaga Fa'amatalaga",
        "backgroundColor": "rgba(255, 99, 132, 0.2)",
        "borderColor": "rgba(255, 99, 132, 1)",
        "faamatalaga": [10, 20, 30]
      }
    ]
  },
  "filifiliga": {
    "igoa": {
      "fa'aaliga": moni,
      "text": "Fa'amatalaga Fa'amatalaga i le Va o Vaega"
    },
    "fua": {
      "yAxes": [
        {
          "tiki": {
            "beginAtZero": moni
          }
        }
      ]
    }
  }
}

Fa'ai'uga

O le tu'ufa'atasia o agava'a AI i totonu o le fausaga fa'akomepiuta e mana'omia ai le iloiloga ma le toto'a o fa'ata'ita'iga fa'apitoa, fa'ata'ita'iga fa'ata'ita'iga, ma fa'ata'ita'iga fa'apitoa. E ala i le malamalama i le taua o le faʻalauteleina ma le faʻaogaina o meafaigaluega faʻaaliga e faʻatusalia ai faʻamaumauga, e mafai e faʻalapotopotoga ona faʻatautaia lelei le lumanaʻi o le faʻaogaina o polokalama faakomepiuta AI ma tumau ai le tauvaga i le siʻosiʻomaga faʻatekonolosi televave i aso nei.

Fa'asinomaga

  • [1] "Faʻamatalaga Faʻamatalaga mo le Atinaʻeina o Polokalama" e le IBM
  • [2] "Au'aunaga Fa'ata'ita'i Fa'ata'ita'i" saunia e Microsoft
  • [3] "Fa'ata'ita'iga Fa'ata'ita'iga" e le Amazon Web Services
  • [4] "Fua'iga Fa'atatau mo le Fa'ata'ita'iga Fa'akomepiuta a le AI-Driven" e Google Cloud
  • [5] "Meafaigaluega Faʻaaliga mo Faʻatonu Faʻatonu" saunia e Tableau

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