ZeroOps: Ho Finyella Tsamaiso ea Meralo e Ikemetseng ka li-AI Agents le Lisebelisoa tsa Orchestration. | B4N1

ZeroOps: Ho Finyella Tsamaiso ea Meralo e Ikemetseng ka li-AI Agents le Lisebelisoa tsa Orchestration.

7 months ago · b4n1 Tiempo de lectura: 5 min

Kenyelletso

Sebakeng sa kajeno sa dijithale se potlakileng, taolo ea meralo ea motheo e fetohile mosebetsi o rarahaneng le o nkang nako. Ka keketseho ea likhomphutha tsa leru, lisebelisoa, le li-microservices, mokhoa oa setso oa DevOps mabapi le taolo ea litšebeletso e se e le phephetso le ho feta. Mona ke moo ZeroOps e kenang - mokhoa oa phetoho oa tsamaiso ea litšebeletso tsa motheo o matlafatsang liakhente tsa AI le lisebelisoa tsa 'mino ho theha mekhoa ea boipheliso, e itlhoekisang.

Sehloohong sena, re tla hlahloba mateano a litsela tsa AI, DevOps, le ZeroOps ho theha tsamaiso ea mehaho e ikemetseng ka LangChain, DSPy, le StackGen. Re tla shebisisa likarolo tse sebetsang tsa ho kenya tšebetsong ZeroOps, ho kenyeletsoa mehlala ea likhoutu, manane a litaelo, le pono.

ZeroOps ke eng?

ZeroOps ke phetoho ea paradigm tsamaisong ea meralo ea motheo e ikemiselitseng ho felisa tlhoko ea ho kenella ha batho taolong ea meralo ea motheo. E finyella sena ka ho sebelisa li-agent tsa AI le lisebelisoa tsa 'mino ho iketsetsa mesebetsi e kang ho beha leihlo, ho phahamisa le ho rarolla mathata.

Mohopolo oa mantlha ka morao ho ZeroOps ke ho theha mokhoa oa ho iphekola, oa ho itlhoekisa o ka ikamahanyang le maemo a fetohang a mosebetsi le tikoloho ntle le ho kenella ha motho. Sena se fihlelleha ka ho sebelisa liakhente tsa AI ho sekaseka datha ho tsoa mehloling e fapaneng, ho tseba mekhoa, le ho etsa liqeto ho ntlafatsa ts'ebetso ea litšebeletso tsa motheo.

Baemeli ba AI le Lisebelisoa tsa Orchestration

Lisebelisoa tsa AI le lisebelisoa tsa ochestration ke mokokotlo oa ZeroOps. Baemeli ba AI ke mananeo a software a sebelisang li-algorithms tsa ho ithuta ka mochini ho sekaseka data le ho etsa liqeto. Ka lehlakoreng le leng, lisebelisoa tsa 'mino li sebelisetsoa ho iketsetsa mesebetsi e kang ho tsamaisa, ho phahamisa le ho beha leihlo.

Lisebelisoa tse ling tse tsebahalang tsa AI le lisebelisoa tsa 'mino tse sebelisoang ho ZeroOps li kenyelletsa:

  • LangChain: Laeborari ea Python bakeng sa ho aha liakhente tsa puisano tsa AI.
  • DSPy: Laeborari ea Python bakeng sa ho aha lipeipi tsa mahlale a data.
  • StackGen: Sesebelisoa sa ho tsamaisa phepelo ea litšebeletso tsa motheo le taolo.

Ho kenya tšebetsong ZeroOps ka LangChain, DSPy, le StackGen

Karolong ena, re tla fana ka mohlala o sebetsang oa ho kenya ts'ebetsong ZeroOps ho sebelisa LangChain, DSPy, le StackGen.

Mohato oa 1: Ho theha Tikoloho

Ho qala, re hloka ho theha tikoloho ea rona ka LangChain, DSPy, le StackGen. Re ka kenya lilaebrari tsena re sebelisa pip:

pip kenya langchain dspy stackgen

Mohato oa 2: Ho Aha Moemeli oa AI

Ka mor'a moo, re hloka ho haha moemeli oa rona oa AI ho sebelisa LangChain. Re ka theha moemeli ea bonolo ea sebelisang puo ea tlhaho (NLP) ho sekaseka lintlha le ho tseba mekhoa:

ho tsoa ho langchain import LLAMA

# Theha moemeli oa LLAMA
moemeli = LLAMA(
    lebitso_la mohlala = "xlarge",
    max_length=1024,
    mocheso=0.5,
)

# Hlalosa tšebetso ea ho sekaseka lintlha
def analyze_logs(logs):
    # Sebelisa moemeli ho sekaseka lits'oants'o
    tlhahiso = agent.run(logs)
    kgutlisa tlhahiso

# Lekola ts'ebetso
logs = ["Phoso: Khokahano e feletsoe ke nako", "Phoso: Khokahano ea polokelong ea boitsebiso e hlotsoe"]
tlhahiso = analyze_logs(logs)
hatisa(sephetho)

Mohato 3: Ho Aha Sesebediswa sa Orchestration

Ka mor'a moo, re hloka ho theha sesebelisoa sa rona sa 'mino oa liletsa re sebelisa StackGen. Re ka etsa sesebelisoa se bonolo se tsamaisang phepelo le ho lekanya:

ho tsoa ho stackgen import StackGen

# Theha mohlala oa StackGen
stackgen = StackGen()

# Hlalosa tšebetso eo u lokelang ho e sebelisa le ho e phahamisa
def deploy_and_scale():
    # Sebelisa StackGen ho tsamaisa le ho lekanya
    stackgen.deploy_and_scale()
    khutla

# Lekola ts'ebetso
deploy_and_scale()

Mohato oa 4: Ho kopanya Moemeli oa AI le Sesebelisoa sa Orchestration

Qetellong, re hloka ho kopanya moemeli oa rona oa AI le sesebelisoa sa orchestration ho theha sistimi ea ZeroOps. Re ka sebelisa DSPy ho theha phaephe ea saense ea data e kopanyang tse peli:

ho tloha dSpy import Pipeline

# Theha pompo
pipeline = Pipeline()

# Kenya moemeli oa AI pompong
pipeline.add_task(analyze_logs)

# Eketsa sesebelisoa sa orchestration pompong
pipeline.add_task(deploy_and_scale)

# Tsamaisa lipeipi
pipeline.run()

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

Mona ke tse 5-10 tse sebelisoang ka ho fetesisa litaelo/likotoana tsa ZeroOps:

  1. pip install langchain dspy stackgen: Kenya LangChain, DSPy, le StackGen.
  2. ho tsoa ho langchain import LLAMA: Reka moemeli oa LLAMA ho tsoa LangChain.
  3. moemedi = LLAMA(...): Theha moemedi wa LLAMA.
  4. def analyze_logs(logs): ...: Hlalosa ts'ebetso ea ho sekaseka lits'oants'o u sebelisa moemeli oa AI.
  5. ho tsoa ho stackgen import StackGen: Reka mohlala oa StackGen ho tsoa ho StackGen.
  6. stackgen = StackGen(): Etsa mohlala oa StackGen.
  7. def deploy_and_scale(): ...: Hlalosa ts'ebetso ea ho tsamaisa le ho lekanya ka ho sebelisa StackGen.
  8. ho tloha dspy import Pipeline: Reka sehlopha sa Pipeline ho tsoa ho DSPy.
  9. pipeline = Pipeline(): Theha phaephe.
  10. pipeline.add_task(hlahlobisisa_logs): Kenya moemeli oa AI ho phaephe.

Ho bona pono

Mona ke pono ea sistimi ea ZeroOps e sebelisang Chart.js:

{
  "type": "bar",
  "data": {
    "labels": ["AI Agent", "Orchestration Tool", "Data Science Pipeline"],
    "lintlha tsa boitsebiso": [
      {
        "label": "ZeroOps System",
        "data": [10, 20, 30],
        "backgroundColor": ["#4CAF50", "#FF9800", "#2196F3"]
      }
    ]
  },
  "likgetho": {
    "sehlooho": {
      "bontša": 'nete,
      "text": "ZeroOps System Components"
    },
    "makala": {
      "yAxes": [
        {
          "li-ticks": {
            "beginAtZero": 'nete
          }
        }
      ]
    }
  }
}

Ponahalo ena e bonts'a likarolo tse tharo tsa mantlha tsa sistimi ea ZeroOps: moemeli oa AI, sesebelisoa sa orchestration, le phaephe ea mahlale a data.

Qetello

ZeroOps ke mokhoa oa phetoho oa taolo ea litšebeletso tsa motheo o sebelisang li-agent tsa AI le lithulusi tsa 'mino ho theha meaho ea boipheliso, e itlhophang. Ka ho sebelisa LangChain, DSPy, le StackGen, re ka haha ​​​​sistimi ea ZeroOps e iketsetsang mesebetsi e kang ho beha leihlo, ho lekanya, le ho rarolla mathata.

Sehloohong sena, re fane ka mohlala o sebetsang oa ho kenya ts'ebetsong ZeroOps ho sebelisa LangChain, DSPy, le StackGen. Hape re fane ka pono ea sistimi ea ZeroOps re sebelisa Chart.js.

Re tšepa hore sengoloa sena se fane ka kakaretso e felletseng ea ZeroOps le bokhoni ba eona ba ho fetola tsela eo re tsamaisang litšebeletso tsa motheo.


¿Tienes preguntas?

Hablemos

Contáctame en LinkedIn