Pamene ukadaulo wa AI ukupitilirabe kupita patsogolo ndikukhala wophatikizidwa m'mapulogalamu apulogalamu, kufunikira kwa zomangamanga zolimba, zosungika, komanso zowopsa sikunakhalepo kovutirapo. M'nkhaniyi, tiwona momwe AI, uinjiniya wamapulogalamu, ndi zomangamanga, tikuyang'ana kwambiri pakupanga mapulogalamu otsogola komanso abwino omwe amayendetsedwa ndi AI pogwiritsa ntchito ma modular workflow architecture ndi othandizira a AI.

Zovuta za AI-Driven Software Systems

Mapulogalamu a mapulogalamu oyendetsedwa ndi AI amapereka zovuta zingapo zomwe ziyenera kuthetsedwa kuti zitsimikizire kuti zikuyenda bwino komanso zoyenera. Ena mwa mavutowa ndi awa:

• **Kuvuta **: Makina a AI nthawi zambiri amakhala ovuta komanso ovuta kuwamvetsetsa, zomwe zimapangitsa kuti zikhale zovuta kuzindikira ndikuthana ndi zovuta zomwe zingachitike.
• Scalability: Makina a AI amatha kukhala ochulukirachulukira, omwe amafunikira zofunikira kuti zitheke.
• Makhalidwe: Machitidwe a AI akhoza kupititsa patsogolo tsankho ndi tsankho, kuwonetsa kufunikira kwa malingaliro abwino pakupanga dongosolo.
• Kukonza: Makina a AI amatha kukhala ovuta kuwasamalira ndikusintha, zomwe zimafunikira ukatswiri wofunikira ndi zothandizira.

Zomangamanga za Modular Workflow

Zomangamanga zoyendetsera ntchito ndi njira yopangira yomwe imaphwanya machitidwe ovuta kukhala ma module ang'onoang'ono, odziyimira pawokha omwe amatha kusamalidwa komanso kusinthidwa mosavuta. Njirayi ili ndi maubwino angapo, kuphatikiza:

• Scalability: Kapangidwe kamayendedwe kantchito kamalola kukulitsa kosavuta kwa ma module apawokha, kuchepetsa kufunikira kokweza zofunikira.
• Kusinthasintha: Mapangidwe amayendedwe amodular amathandizira kusintha kosavuta ndikukulitsa ma module amtundu uliwonse, kuchepetsa kufunikira kokonzanso dongosolo.
• Kusungika: Kapangidwe kamayendedwe kantchito kumapangitsa kuti zikhale zosavuta kuzindikira ndi kuthana ndi zovuta, kuchepetsa kufunikira kwa nthawi yocheperako.

AI Agents

Othandizira AI ndi zida zamapulogalamu zomwe zimalumikizana ndi ogwiritsa ntchito ndi machitidwe ena kuti akwaniritse zolinga zenizeni. Othandizira AI atha kugwiritsidwa ntchito kukhazikitsa ma modular workflow architecture, kupereka maubwino angapo, kuphatikiza:

• **Kudziyimira pawokha **: Othandizira a AI amatha kugwira ntchito pawokha, kuchepetsa kufunikira kwa kulowererapo kwa anthu ndikuwonjezera kusinthika kwadongosolo.
• ** Kusinthasintha **: Othandizira a AI amatha kusinthidwa mosavuta ndikukulitsidwa, kuchepetsa kufunika kokonzanso dongosolo.
• Scalability: Othandizira a AI amatha kubwerezedwa mosavuta ndikukulitsidwa, kuchepetsa kufunikira kokweza zida.

Kupanga Ma Scalable and Ethical AI-Driven Software Systems

Kuti tipange makina oyendetsera mapulogalamu oyendetsedwa ndi AI, tiyenera kuganizira zinthu zingapo, kuphatikiza:

• Modularity: Gwirani makina ovuta kukhala ma module ang'onoang'ono, odziyimira pawokha omwe amatha kusamalidwa ndikusinthidwa mosavuta.
• Kudziyimira pawokha: Gwiritsani ntchito othandizira a AI kuti akhazikitse kamangidwe kamayendedwe kantchito, kupangitsa kudziyimira pawokha komanso kuchepetsa kufunikira kwa kulowererapo kwa anthu.
• Kusinthasintha: Makina opanga omwe amatha kusintha mosavuta zomwe zikufunika komanso zosowa za ogwiritsa ntchito.
• Makhalidwe: Phatikizani mfundo zamakhalidwe pamapangidwe adongosolo, kuwonetsetsa kuti machitidwe a AI ndi olungama, owonekera, komanso oyankha.

Chitsanzo Chothandiza: Kugwiritsa Ntchito Modular Workflow Architecture ndi AI Agents ku Python

Nachi chitsanzo chosavuta chogwiritsa ntchito ma modular workflow architecture ndi othandizira a AI ku Python:

import asyncio
kuchokera ku langchain.agents kuitanitsa LLMChainAgent

# Fotokozani kamangidwe kamayendedwe kantchito
kalasi ModularWorkflow:
    def __init__(yekha):
        self.modules = []

    def add_module(yekha, gawo):
        self.modules.append(module)

    async def run(self):
        za module mu self.modules:
            await module.run()

# Tanthauzirani wothandizira wa AI
kalasi AI-Agent:
    def __init__(yekha, llm):
        self.llm = llm

    async def run(self):
        # Gwiritsani ntchito LLM kupanga zolemba
        text = await self.llm.generate_text("Moni, dziko!")
        sindikiza (mawu)

# Fotokozani gawo lomwe limagwiritsa ntchito wothandizira wa AI
kalasi TextGenerator:
    def __init__(yekha, ai_agent):
        self.ai_agent = ai_agent

    async def run(self):
        # Gwiritsani ntchito wothandizira wa AI kuti mupange zolemba
        ait self.ai_agent.run()

# Pangani kamangidwe kamayendedwe kantchito
kayendedwe ka ntchito = ModularWorkflow ()

# Onjezani gawo lomwe limagwiritsa ntchito wothandizira wa AI
workflow.add_module(TextGenerator(AI-Agent(LLMChainAgent())))

# Yambitsani ntchito
asyncio.run(workflow.run())

Chitsanzochi chikuwonetsa momwe mungagwiritsire ntchito ma modular workflow architecture ndi othandizira a AI kuti apange dongosolo lokhazikika komanso lokhazikika. Kalasi ya ModularWorkflow imatanthawuza kamangidwe kamayendedwe kantchito, pomwe gulu la AI-Agent limatanthawuza wothandizira wa AI yemwe angagwiritsidwe ntchito kukhazikitsa ma modular workflow mamangidwe. Kalasi ya TextGenerator ikuwonetsa momwe mungagwiritsire ntchito wothandizira wa AI kupanga mawu.

Apamwamba 5-10 Omwe Amagwiritsidwa Ntchito Kwambiri / Zidutswa

Nawa maulamuliro/zidutswa 5-10 zapamwamba kwambiri paukadaulo uwu:

1. kulowetsani asyncio - Lowetsani laibulale ya asyncio kuti mutsegule mapulogalamu osasinthika.
2. kuchokera ku langchain.agents import LLMChainAgent - Lowetsani kalasi ya LLMChainAgent kuchokera ku laibulale ya langchain kuti mupange wothandizira AI.
3. class ModularWorkflow: - Tanthauzirani kamangidwe kamayendedwe kantchito pogwiritsa ntchito kalasi ya ModularWorkflow.
4. async def run(self): - Tanthauzirani njira yofananira yoyendetsera kamangidwe kantchito.
5. await module.run() - Gwiritsani ntchito mawu ofunikira a await kuti muyendetse ma module amtundu uliwonse pamapangidwe amayendedwe antchito.
6. Class AI-Agent: - Tanthauzirani wothandizira wa AI pogwiritsa ntchito kalasi ya AI-Agent.
7. async def run(self): - Tanthauzirani njira yosasinthika yoyendetsera wothandizira AI.
8. text = await self.llm.generate_text("Moni, dziko!") - Gwiritsani ntchito LLM kupanga mawu.
9. workflow.add_module(TextGenerator(AI-Agent(LLMChainAgent()))) - Onjezani gawo lomwe limagwiritsa ntchito wothandizira AI kumapangidwe amtundu wa modular workflow.
10. asyncio.run(workflow.run()) - Yambitsani kamangidwe kamayendedwe kantchito pogwiritsa ntchito laibulale ya asyncio.

# Kuwona

Nayi chithunzithunzi cha kamangidwe kamayendedwe kantchito pogwiritsa ntchito Chart.js:

{
  "type": "bar",
  "data": {
    "labels": ["Module 1", "Module 2", "Module 3"],
    "ma dataset": [
      {
        "label": "Module 1",
        "data": [10],
        "backgroundColor": "rgba(255, 99, 132, 0.2)",
        "borderColor": "rgba(255, 99, 132, 1)",
        "BorderWidth": 1
      },
      {
        "label": "Module 2",
        "data": [20],
        "backgroundColor": "rgba(54, 162, 235, 0.2)",
        "borderColor": "rgba(54, 162, 235, 1)",
        "BorderWidth": 1
      },
      {
        "label": "Module 3",
        "data": [30],
        "backgroundColor": "rgba(255, 206, 86, 0.2)",
        "borderColor": "rgba(255, 206, 86, 1)",
        "BorderWidth": 1
      }
    ]
  },
  "zosankha": {
    "mutu": {
      "kuwonetsa": zoona,
      "text": "Modular Workflow Architecture"
    },
    "miyeso": {
      "yAxes": [
        {
          "nkhupakupa": {
            "beginAtZero": zoona
          }
        }
      ]
    }
  }
}

Chiwonetserochi chikuwonetsa kamangidwe kamayendedwe kantchito, ndi gawo lililonse loyimiridwa ndi tchati cha bar. X-axis imayimira ma module, pomwe y-axis imayimira nthawi yophedwa.

##Mapeto

Kupanga makina oyendetsera mapulogalamu oyendetsedwa ndi AI amafunikira kumvetsetsa kwakukulu kwa AI, uinjiniya wamapulogalamu, ndi zomangamanga. Pogwiritsa ntchito ma modular workflow architecture ndi othandizira a AI, opanga amatha kupanga makina olimba, osungika, komanso owopsa omwe amakwaniritsa zosowa za ogwiritsa ntchito komanso okhudzidwa. Pophatikizira zamakhalidwe pamapangidwe adongosolo, omanga amatha kuwonetsetsa kuti machitidwe a AI ndi achilungamo, owonekera, komanso oyankha.