ZeroOps: Te whakatutuki i te Whakahaere Hanganga Motuhake me nga Kaitohu AI me nga Utauta Whakaritenga | B4N1

ZeroOps: Te whakatutuki i te Whakahaere Hanganga Motuhake me nga Kaitohu AI me nga Utauta Whakaritenga

7 months ago · b4n1 Read time: 5 min

Whakataki

I roto i te tere o te ao matihiko o enei ra, ko te whakahaeretanga o nga hanganga he mahi uaua me te whakapau wa. Na te pikinga o te rorohiko kapua, te whakaurunga, me nga ratonga moroiti, ko te huarahi tuku iho a DevOps ki te whakahaere hanganga kua kaha ake te wero. Koinei te waahi ka uru mai a ZeroOps - he huarahi hurihuri ki te whakahaere hanganga e whakamahi ana i nga kaihoko AI me nga taputapu whakahiato ki te hanga i te whakaora-whaiaro, i nga hanganga whakapai ake.

I roto i tenei tuhinga, ka tirotirohia e matou te whakawhitinga o AI, DevOps, me ZeroOps ki te hanga i te whakahaerenga hanganga motuhake ma te whakamahi i LangChain, DSPy, me StackGen. Ka rukuhia e maatau nga ahuatanga o te whakatinana i nga ZeroOps, tae atu ki nga tauira waehere, rarangi whakahau, me te tirohanga.

He aha te ZeroOps?

Ko te ZeroOps he huringa paradigm i roto i te whakahaerenga hanganga e whai ana ki te whakakore i te hiahia mo te wawaotanga a te tangata ki te whakahaere i nga hanganga. Ka tutuki tenei ma te whakamahi i nga apiha AI me nga taputapu orchestration ki te whakaaunoa i nga mahi penei i te aro turuki, te whakatauira, me te rapu raru.

Ko te whakaaro matua i muri i a ZeroOps ko te hanga i tetahi hanganga whakaora-whaiaro, whakapai-whaiaro e taea ai te urutau ki te whakarereke i nga kawenga mahi me nga taiao kaore he wawaotanga a te tangata. Ka tutuki tenei ma te whakamahi i nga kaihoko AI ki te tarai i nga raraunga mai i nga momo puna, te tautuhi i nga tauira, me te whakatau whakatau ki te arotau i nga mahi hanganga.

Nga Kaihoko AI me nga Utauta Whakaritenga

Ko nga kaihoko AI me nga taputapu orchestration te tuara o ZeroOps. Ko nga kaihoko AI he kaupapa rorohiko e whakamahi ana i nga miihini ako miihini ki te tātari raraunga me te whakatau whakatau. Ko nga taputapu orchestration, i tetahi atu taha, ka whakamahia ki te whakaaunoa i nga mahi penei i te tuku, te whakatauira, me te aro turuki.

Ko etahi o nga kaihoko AI rongonui me nga taputapu whakahiato i whakamahia i ZeroOps ko:

  • LangChain: He whare pukapuka Python mo te hanga i nga kaihoko korero AI.
  • DSPy: He whare pukapuka Python mo te hanga paipa putaiao raraunga.
  • StackGen: He taputapu mo te whakaaunoa i nga hanganga me te whakahaere.

Te whakatinana i nga ZeroOps me LangChain, DSPy, me StackGen

I tenei waahanga, ka whakaratohia e matou he tauira whaitake mo te whakatinana i nga ZeroOps ma te whakamahi i te LangChain, DSPy, me StackGen.

Hipanga 1: Whakaritea te Taiao

Hei timata, me whakarite to tatou taiao me LangChain, DSPy, me StackGen. Ka taea e taatau te whakauru i enei whare pukapuka ma te whakamahi i te pip:

pip tāuta langchain dspy stackgen

Hipanga 2: Hangaia te Kaitohu AI

I muri mai, me hanga e matou to maatau kaihoko AI ma te whakamahi i te LangChain. Ka taea e matou te hanga i tetahi kaihoko ngawari e whakamahi ana i te tukatuka reo maori (NLP) hei tātari i nga raarangi me te tautuhi i nga tauira:

mai i te langchain kawemai LLAMA

# Waihangahia he kaihoko LLAMA
kaihoko = LLAMA(
    model_name="xlarge",
    morahi_roa=1024,
    pāmahana=0.5,
)

# Tautuhia he mahi hei tātari i nga raarangi
def analysis_logs(raupapa):
    # Whakamahia te kaihoko ki te tātari i nga raarangi
    putanga = agent.run(raupapa)
    whakahoki putanga

# Whakamatauhia te mahi
logs = ["Hapa: Kua pau te wa hono", "Hapa: I rahua te hononga raraunga"]
putanga = tātari_raupapa(raupapa)
tā(putanga)

Hipanga 3: Hangaia te Utauta Whakaritenga

I muri mai, me hanga e taatau taputapu whakahiato ma te whakamahi i a StackGen. Ka taea e tatou te hanga i tetahi taputapu ngawari e whakaaunoa ana i te tukunga me te tauine:

mai i stackgen kawemai StackGen

# Waihangahia he tauira StackGen
stackgen = StackGen()

# Tautuhia he mahi hei hora me te tauine
def deploy_and_scale():
    # Whakamahia a StackGen ki te tohatoha me te tauine
    stackgen.deploy_and_scale()
    hoki mai

# Whakamatauhia te mahi
deploy_and_scale()

Hipanga 4: Te whakauru i te Agent AI me te Utauta Whakaraupapa

Ka mutu, me whakauru taatau kaihoko AI me te taputapu whakahiato ki te hanga i tetahi punaha ZeroOps. Ka taea e tatou te whakamahi i te DSPy ki te hanga i tetahi pipeline pūtaiao raraunga e whakauru ana i nga mea e rua:

mai i te Pipeline kawemai dspy

# Waihangahia he paipa
paipa = Pipeline()

# Taapirihia te kaihoko AI ki te paipa
pipeline.add_task(analyze_logs)

# Taapirihia te taputapu orkestra ki te paipa
pipeline.add_task(deploy_and_scale)

# Whakahaerehia te paipa
pipeline.run()

Top 5-10 Whakamahinga Whakahau/Snippets

Anei nga 5-10 o runga o nga whakahau/snippets e whakamahia ana mo ZeroOps:

  1. pip tāuta langchain dspy stackgen: Tāuta LangChain, DSPy, me StackGen.
  2. mai i te langchain kawemai LLAMA: Kawemai i te kaihoko LLAMA mai i LangChain.
  3. Agent = LLAMA(...): Waihangatia he kaihoko LLAMA.
  4. def analysis_logs(logs): ...: Tautuhia he taumahi hei tātari i nga raarangi ma te whakamahi i te kaihoko AI.
  5. mai i stackgen kawemai StackGen: Kawemai te tauira StackGen mai i StackGen.
  6. stackgen = StackGen(): Waihangahia he tauira StackGen.
  7. def deploy_and_scale(): ...: Tautuhia he taumahi hei hora me te tauine ma te whakamahi i StackGen.
  8. mai i te dspy import Pipeline: Kawemai i te akomanga Pipeline mai i DSPy.
  9. Pipeline = Pipeline(): Waihangahia he paipa.
  10. pipeline.add_task(analyze_logs): Tāpirihia te kaihoko AI ki te paipa.

Whakaaturanga

Anei he tirohanga o te punaha ZeroOps ma te whakamahi i te Chart.js:

{
  "type": "pae",
  "raraunga": {
    "labels": ["AI Agent", "Orchestration Tool", "Raraunga Putaiao Pipeline"],
    "raunga raraunga": [
      {
        "label": "Pūnaha ZeroOps",
        "raraunga": [10, 20, 30],
        "Tae papamuri": ["#4CAF50", "#FF9800", "#2196F3"]
      }
    ]
  },
  "kōwhiringa": {
    "taitara": {
      "whakaatu": pono,
      "text": "Wahanga Pūnaha ZeroOps"
    },
    "tauine": {
      "yAxes": [
        {
          "tika": {
            "beginAtZero": pono
          }
        }
      ]
    }
  }
}

Ko tenei whakakitenga e whakaatu ana i nga waahanga matua e toru o te punaha ZeroOps: te kaihoko AI, te taputapu orkestra, me te pipeline pūtaiao raraunga.

Whakamutunga

Ko te ZeroOps he huarahi hurihuri ki te whakahaere hanganga e whakamahi ana i nga kaihoko AI me nga taputapu whakahiato ki te hanga i nga hanganga whakaora-whaiaro, whakapai-whaiaro. Ma te whakamahi i te LangChain, DSPy, me StackGen, ka taea e tatou te hanga i tetahi punaha ZeroOps e whakaaunoa ana i nga mahi penei i te aro turuki, te whakatauira, me te rapu raru.

I roto i tenei tuhinga, kua whakaratohia e matou he tauira whaitake mo te whakatinana i nga ZeroOps ma te whakamahi i LangChain, DSPy, me StackGen. Kua whakaratohia ano e matou he tirohanga o te punaha ZeroOps ma te whakamahi i te Chart.js.

Te ti'aturi nei matou kua whakaratohia e tenei tuhinga he tirohanga whanui mo ZeroOps me tona kaha ki te whakarereke i te huarahi e whakahaere ana matou i nga hanganga.


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