Leveraging Agetic AI bakeng sa Infrastructure ea Autonomous e nang le Bokhoni bo Ntlafetseng ba AI ea AI | B4N1

Leveraging Agetic AI bakeng sa Infrastructure ea Autonomous e nang le Bokhoni bo Ntlafetseng ba AI ea AI

8 months ago · b4n1 Read time: 6 min

Kenyelletso

Ho nkuoa ha OpsVerse ka StackGen ho tšoaea mohato oa bohlokoa ntlafatsong ea taolo ea litšebeletso tsa motheo. Ka ho kopanya bokhoni ba tsamaiso ea litšebeletso tsa motheo tsa OpsVerse tse tsamaisoang ke AI le boitseanape ba StackGen ho AI ea khale, mokhatlo o kopaneng o mothating oa ho fetola tsela eo re tsamaisang le ho boloka lisebelisoa tsa rona tsa dijithale. Sengoliloeng sena, re tla shebana le ts'ebetsong ea tekheniki ea phumano ena, ho lekola hore na AI ea bo-agent e ka sebelisoa joang ho tsamaisa taolo ea meralo ea motheo, le ho buisana ka melemo le mathata a ka bang teng a mokhoa ona.

Agetic AI ke eng?

Agetic AI e bua ka mofuta oa bohlale ba maiketsetso bo khonang ho iketsetsa liqeto le ho nka khato. Ho fapana le litsamaiso tsa setso tsa AI, tse itšetlehileng ka melao le li-algorithms tse reriloeng esale pele, litsamaiso tsa AI tsa agent li ka ithuta, tsa ikamahanya le maemo, le ho fetoha ha nako e ntse e ea, li li nolofalletsa ho arabela tikolohong e rarahaneng le e matla. Boemong ba tsamaiso ea litšebeletso tsa motheo, AI ea li-agency e ka sebelisoa ho iketsetsa mesebetsi e kang ho beha leihlo, ho rarolla mathata, le tlhokomelo, ho lokolla lisebelisoa tsa batho bakeng sa mesebetsi e mengata ea bohlokoa le ea boleng bo phahameng.

Ts'ebetsong ea Tekheniki

Ts'ebetsong ea tekheniki ea ho fumana OpsVerse ea StackGen e kenyelletsa ho kopanya bokhoni ba tsamaiso ea motheo ea AI e tsamaisoang ke OpsVerse le moralo oa StackGen's agetic AI. Kopanyo ena e etsa hore ho thehoe liakhente tse ikemetseng tsa taolo ea meralo ea motheo tse ka ithutang, ho ikamahanya le maemo, le ho fetoha ha nako e ntse e ea, ho li nolofalletsa ho arabela tikolohong e rarahaneng le e matla.

Moralo oa AI oa Agent

Moralo oa li-agency AI o sebelisoang ke StackGen o thehiloe laebraring ea LangChain, e fanang ka lisebelisoa tsa lisebelisoa le li-API tsa ho haha ​​litsamaiso tsa AI tsa agent. LangChain e etselitsoe ho thusa ho theha mahlahana a ikemetseng a khonang ho ithuta, ho ikamahanya le maemo, le ho fetoha ha nako e ntse e ea, ho ba nolofalletsa ho arabela tikolohong e rarahaneng le e matla.

import langchain

# Theha moemeli e mocha
moemeli = langchain.Agent(
    lebitso = "motsamaisi_ oa thepa",
    ketane=[
        langchain.Tasks(
            mosebetsi="mohlokomedi_motheo",
            ketso="hlahloba_boemo ba_tsamaiso",
            moputso=10,
            kotlo=-5,
        ),
        langchain.Tasks(
            mosebetsi="tharollo_ea_lisebelisoa",
            ketso="run_diagnostic_tools",
            moputso=20,
            kotlo=-10,
        ),
    ],
)

# Koetlisa moemeli
agent.train(
    palo_ephisouto=100,
    max_steps_per_episode=100,
    sekhahla_thuto=0.01,
    gamma=0.9,
)

# Kenya moemeli
agent.deploy(
    tikoloho="tlhahiso",
    monitoring_interval=60,
    alerting_threshold=5,
)

Ho kopanya le OpsVerse

Bokhoni ba ts'ebetso ea ts'ebetso ea ts'ebetso ea OpsVerse e tsamaisoang ke AI e kopantsoe le moralo oa AI oa StackGen o sebelisa sehlopha sa li-API le likhokahano tsa data. Kopanyo ena e etsa hore ho thehoe liakhente tse ikemetseng tsa taolo ea meralo ea motheo tse ka ithutang, ho ikamahanya le maemo, le ho fetoha ha nako e ntse e ea, ho li nolofalletsa ho arabela tikolohong e rarahaneng le e matla.

Melemo

Ho kopanngoa ha bokhoni ba tsamaiso ea motheo ea OpsVerse e tsamaisoang ke AI le moralo oa StackGen's agetic AI ho fana ka melemo e mengata, ho kenyelletsa:

  • Boitsebelo bo ntlafetseng: Baemeli ba tsamaiso ea mekhoa ea motheo ba ikemetseng ba ka iketsetsa mesebetsi e kang ho beha leihlo, ho rarolla mathata, le ho lokisa, ho lokolla lisebelisoa tsa batho bakeng sa mesebetsi e mengata ea maano le ea boleng bo phahameng.
  • **Scalability e ntlafetseng **: Lisebelisoa tsa AI tsa AI li ka ithuta, tsa ikamahanya le maemo, le ho fetoha ha nako e ntse e ea, li li nolofalletsa ho arabela tikolohong e rarahaneng le e matla.
  • Ho tšepahala ho eketsehileng: Baemeli ba tsamaiso ea mekhoa ea motheo ba ikemetseng ba ka lemoha le ho arabela litaba ka nako ea sebele, ba fokotsa kotsi ea ho fokotsa nako le tahlehelo ea data.
  • Ho etsa liqeto ho betere: Litsamaiso tsa AI tsa AI li ka sekaseka li-data tse rarahaneng le ho etsa liqeto tse nang le tsebo, tse nolofaletsang taolo e sebetsang ea litšebeletso tsa motheo.

##Mathata

Leha ho kopanngoa ha matla a tsamaiso ea motheo ea OpsVerse's AI-powered AI le moralo oa StackGen's agetic AI ho fana ka melemo e mengata, ho boetse ho na le liqholotso tse 'maloa tse lokelang ho nahanoa, ho kenyelletsa:

  • **Mathata **: Litsamaiso tsa AI tsa AI li ka ba tse rarahaneng le tse thata ho utloisisoa, tse hlokang tsebo le lisebelisoa tsa bohlokoa ho ntlafatsa le ho li boloka.
  • Boleng ba data: Sistimi ea Agentic AI e hloka data ea boleng bo holimo ho ithuta le ho ikamahanya le maemo, e leng ntho e ka bang thata ho e fumana le ho e hlokomela.
  • Tshireletso: Baemeli ba tsamaiso ea litšebeletso tsa motheo ba ikemetseng ba hloka phihlello e sireletsehileng ea data le litsamaiso tse hlokolosi, tse ka bang thata ho li kenya tšebetsong le ho li hlokomela.
  • Ho latela melao: Litsamaiso tsa AI tsa AI li tlameha ho ikamahanya le melao le litekanyetso tse amehang, tse ka bang thata ho tsamaea.

Top 5-10 Litaelo / Linotsoana tse Sebelisitsoeng ka ho Fetisisa

Mona ke tse 5-10 tse sebelisoang ka ho fetesisa litaelo/lipoleloana tsa theknoloji ena:

  1. langchain.Agent.create(): E theha moemeli e mocha.
  2. langchain.Tasks.add(): E eketsa mosebetsi o mocha ho ketane ea moemeli.
  3. langchain.Agent.train(): E koetlisa moemeli ka ho sebelisa palo e itseng ea liketsahalo le sekhahla sa ho ithuta.
  4. langchain.Agent.deploy(): E romela moemeli sebakeng se itseng.
  5. langchain.Agent.monitor(): E beha leihlo tšebetso ea moemeli le ho fana ka maikutlo a nako ea nnete.
  6. langchain.Agent.alert(): E romela litlhokomeliso ho batsamaisi ha moemeli a lemoha mathata.
  7. langchain.Agent.update(): E nchafatsa motheo oa tsebo ea moemeli le ho ikamahanya le maemo a fetohang.
  8. langchain.Agent.evaluate(): E lekola ts'ebetso ea moemeli le ho fana ka likhothaletso bakeng sa ntlafatso.
  9. langchain.Agent.visualize(): E bona ts'ebetso ea moemeli 'me e fane ka lintlha mabapi le boitšoaro ba eona.
  10. langchain.Agent.export(): E romela motheo wa tsebo ya akgente le tlhophiso faeleng.

Ho bona pono

Mona ke pono ea moralo oa AI o sebelisang Chart.js:

{
  "type": "bar",
  "data": {
    "labels": ["Tekolo", "Tharollo ea mathata", "Tlhokomelo"],
    "lintlha tsa boitsebiso": [
      {
        "label": "Tšebetso ea Moemeli",
        "data": [80, 90, 70],
        "backgroundColor": ["#4CAF50", "#FF9800", "#2196F3"]
      }
    ]
  },
  "likgetho": {
    "sehlooho": {
      "bontša": 'nete,
      "text": "Tšebetso ea Moemeli"
    },
    "makala": {
      "yAxes": [
        {
          "li-ticks": {
            "beginAtZero": 'nete
          }
        }
      ]
    }
  }
}

Pono ena e bonts'a ts'ebetso ea moemeli oa AI ho pholletsa le libaka tse tharo tsa bohlokoa: ho beha leihlo, ho rarolla mathata le tlhokomelo. Ts'ebetso ea moemeli e lekantsoe ho latela bokhoni ba eona ba ho lemoha le ho araba litaba ka nako ea nnete.

Qetello

Ho kopanngoa ha bokhoni ba tsamaiso ea mekhoa ea motheo ea OpsVerse e tsamaisoang ke AI le moralo oa StackGen's agetic AI ho fana ka mefuta e mengata ea melemo, ho kenyelletsa le ts'ebetso e ntlafetseng, ts'ebetso e ntlafetseng, ho tšepahala ho eketsehileng, le ho etsa liqeto tse molemo. Le hoja ho na le liphephetso tse 'maloa tse lokelang ho nahanoa, ho kenyelletsa ho rarahana, boleng ba data, ts'ireletso, le ho lumellana le taolo, melemo e ka bang teng ea mokhoa ona e etsa hore e be sebaka se thabisang le se tšepisang sa lipatlisiso le nts'etsopele. Ha thekenoloji e ntse e tsoela pele ho fetoha, re ka lebella ho bona lits'ebetso tse ncha tsa AI lefapheng la tsamaiso ea litšebeletso.


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