Yenza umbhobho wokungenisa idatha | B4N1

Yenza umbhobho wokungenisa idatha

3 months ago · b4n1 Read time: 4 min

Ukucwangcisa i-AI-Powered DevOps kunye ne-DSPy kunye neLangChain: i-Scalable Architecture yoPhando lweSihlo oluzenzekelayo

Kwimeko yanamhlanje ekhawulezayo yedijithali, amaqela eDevOps ajongene nomceli mngeni owandayo: ukuchonga nokusombulula izehlo ngokufanelekileyo nangempumelelo. Njengoko umthamo kunye nesantya sokukhutshwa kwesoftware kukhawuleza, ukubakho kweempazamo kunye nokwaphulwa kokhuseleko kukhula. Ukuhlala phambi kwegophe, imibutho kufuneka yamkele izicwangciso ezintsha eziphakamisa amandla e-Artificial Intelligence (AI) ukwenza uphando lwesiganeko kunye nesisombululo.

Kweli nqaku, siza kuphonononga iinkcukacha zokuphunyezwa kobugcisa bokusebenzisa i-DSPy kunye neLangChain ukwenza i-architecture enobungozi yophando lwesiganeko esizenzekelayo. Ngokudibanisa amandla ezi tekhnoloji zimbini zokusika, siya kubonisa indlela yokwakha inkqubo eyomeleleyo nesebenzayo ephucula impumelelo kunye nokusebenza kweDevOps.

Ukuqonda iDSPy kunye neLangChain

Phambi kokuba singene kuphunyezo lobugcisa, makhe sazise ngokufutshane iDSPy kunye neLangChain.

DSPy

I-DSPy yilayibrari yePython ebonelela ngojongano olukwinqanaba eliphezulu lokwakha kunye nokuhambisa izicelo ze-AI-powered. Inika uluhlu lweempawu, kubandakanya:

  • Ukukhonza iModeli: I-DSPy ikuvumela ukuba ukhonze iimodeli ze-AI njengee-APIs, ikwenza kube lula ukuzidibanisa kwizicelo ezikhoyo.
  • Ulawulo lwemodeli: I-DSPy ibonelela ngezixhobo zokulawula iimodeli ze-AI, kubandakanywa ukuhanjiswa kwemodeli, ukubeka iliso, kunye noguqulelo.
  • Ukudityaniswa kwedatha: I-DSPy yenza udibaniso olungenamthungo kunye nemithombo eyahlukeneyo yedatha, kubandakanywa i-database, ii-APIs, kunye neenkqubo zefayile.

LangChain

ILangChain yilayibrari yePython ebonelela ngesakhelo sokwakha iingxoxo ze-AI izicelo. Inika uluhlu lweempawu, kubandakanya:

  • Ujongano lweNgxoxo: ILangChain inika amandla ukudalwa konxibelelwano lwencoko, njengeengxoxo zencoko kunye nabancedisi belizwi.
  • ** UkuCwangciswa koLwimi lweNdalo (i-NLP) **: I-LangChain ibonelela ngezixhobo zemisebenzi ye-NLP, kubandakanywa ukuhlelwa kombhalo, uhlalutyo lweemvakalelo, kunye nokuqatshelwa kwequmrhu.
  • ** Ulawulo lwegrafu yolwazi **: I-LangChain yenza ukuba kudalwe kunye nokulawulwa kweegrafu zolwazi, eziyimfuneko kwiingxoxo ze-AI izicelo.

Ukwakha i-Architecture eScalable

Ukwakha i-architecture enobungozi yophando lwesiganeko esizenzekelayo, siya kudibanisa amandla e-DSPy kunye neLangChain. Uyilo lwethu luya kuba nezi nxalenye zilandelayo:

  1. Ukufakwa kweDatha: Siza kusebenzisa i-DSPy ukungenisa idatha esuka kwimithombo eyahlukeneyo, kubandakanywa iilogi, i-metrics, kunye nee-APIs.
  2. Ukwenziwa kweDatha: Siza kusebenzisa i-DSPy ukucubungula idatha engenisiweyo, sisebenzisa iimodeli ze-AI ukuchonga iziganeko ezinokuthi zibe khona.
  3. ** Ukufunyanwa kwesiganeko **: Siza kusebenzisa i-LangChain ukwenza i-interface yengxoxo yokubona isiganeko, ukuvumela abasebenzisi ukuba badibanise nenkqubo kwaye banike umxholo wophando lwesiganeko.
  4. ** Ulawulo lweGrafu yoLwazi **: Siza kusebenzisa i-LangChain ukudala nokulawula igrafu yolwazi, eya kugcina ulwazi malunga neziganeko, kubandakanywa izizathu, imiphumo kunye nezisombululo zazo.
  5. Isigqibo: Siya kusebenzisa i-DSPy ukusebenzisa imizekelo ye-AI ukusombulula iziganeko, sisebenzise igrafu yolwazi ukwazisa ukwenziwa kwezigqibo.

Ufezekiso lobuGcisa

Masingene kwiinkcukacha zokuphunyezwa kobugcisa boyilo lwethu.

Ukungeniswa kweDatha

Siza kusebenzisa i-DSPy ukungenisa idatha evela kwimithombo eyahlukeneyo, kubandakanywa iilog, iimetrics, kunye nee-APIs. Siza kudala umbhobho wokungenisa idatha sisebenzisa iklasi ye-DSPy yeDataPipeline, eya kujongana nokusetyenzwa nokugcinwa kwedatha.

yokungenisa dSpy njenge dsp


umbhobho = dsp.DataPipeline()

# Yongeza imithombo yedatha kumbhobho
pipeline.add_source("logs", dsp.LogSource())
pipeline.add_source("metrics", dsp.MetricSource())
pipeline.add_source("api", dsp.APISource())

# Qala umbhobho
umbhobho.qalisa()

Ukwenziwa kweDatha

Siza kusebenzisa i-DSPy ukucubungula idatha egciniweyo, sisebenzisa imifuziselo ye-AI ukuchonga izehlo ezinokubakho. Siza kwenza umbhobho wokusetyenzwa kwedatha sisebenzisa iklasi ye-DSPy yeDataPipeline, eya kujongana nokusetyenzwa nokugcinwa kwedatha.

yokungenisa dSpy njenge dsp

# Yenza umbhobho wokwenza idatha
umbhobho = dsp.DataPipeline()

# Yongeza iimodeli ze-AI kumbhobho
pipeline.add_model("incident_detection", dsp.IncidentDetectionModel())
pipeline.add_model("anomaly_detection", dsp.AnomalyDetectionModel())

# Qala umbhobho
umbhobho.qalisa()

Ukufunyanwa kwesiganeko

Siza kusebenzisa iLangChain ukwenza ujongano lwencoko lokubona isiganeko, sivumela abasebenzisi ukusebenzisana nenkqubo kwaye banike umxholo wophando lwesehlo.

ngenisa i-langchain njenge-lc

# Yenza ujongano lwencoko
ujongano = lc.ConversationalInterface()

# Yongeza i-chatbot kwi-interface
interface.add_chatbot("isiganeko_ukubhaqwa", lc.Chatbot())

# Qala ujongano
ujongano.qalisa()

ULawulo lweGrafu yoLwazi

Siza kusebenzisa iLangChain ukudala nokulawula igrafu yolwazi, eya kugcina ulwazi malunga neziganeko, kuquka izizathu, iziphumo kunye nezisombululo zazo.

ngenisa i-langchain njenge-lc

# Yenza igrafu yolwazi
igrafu = lc.KnowledgeGraph()

# Yongeza iindawo zokuhlala kwigrafu
igraph.add_node("isiganeko1", lc.Node())
graph.add_node("incident2", lc.Node())

# Yongeza imiphetho kwigrafu
graph.add_edge("isiganeko1", "incident2", lc.Edge())

Isisombululo

Siza kusebenzisa i-DSPy ukusebenzisa imifuziselo ye-AI ukusombulula izehlo, sisebenzise igrafu yolwazi ukwazisa ukwenziwa kwezigqibo.

yokungenisa dSpy njenge dsp

# Yenza umbhobho wesisombululo
umbhobho = dsp.DataPipeline()

# Yongeza iimodeli ze-AI kumbhobho
pipeline.add_model("incident_resolution", dsp.IncidentResolutionModel())

# Qala umbhobho
umbhobho.qalisa()

Ephezulu 5-10 Eyeyona Isetyenziswayo Imiyalelo/iziqwengana

Nantsi eyona miyalelo/iziqwengana eziphezulu ezi-5-10 ze-DSPy kunye neLangChain:

DSPy

  • dsp.DataPipeline(): Yenza umbhobho wedatha wokungeniswa kwedatha kunye nokuqhubekeka.
  • dsp.add_source(): Yongeza umthombo wedatha kumbhobho.
  • dsp.add_model(): Yongeza imodeli ye-AI kumbhobho.
  • dsp.start(): Iqala umbhobho.
  • dsp.stop(): Misa umbhobho.

LangChain

  • lc.ConversationalInterface(): Yenza ujongano lwencoko ukubhaqwa kwesehlo.
  • lc.add_chatbot(): Yongeza i-chatbot kujongano.
  • lc.start(): Iqala ujongano.
  • lc.KnowledgeGraph(): Yenza igrafu yolwazi yolawulo lweziganeko.
  • lc.add_node(): Yongeza indawo kwigrafu.
  • lc.add_edge(): Yongeza isiphelo kwigrafu.

Umbono

Nantsi imbonakalo yoyilo lwethu lwezakhiwo usebenzisa iChart.js:

{
  "type": "pieChart",
  "idatha": {
    "labels": ["Ukufakwa kweDatha", "UkuLungiswa kweData", "UkuFunyaniswa kweSihlo", "ULawulo lweGrafu yoLwazi", "ISigqibo"],
    "iiseti zedatha": [
      {
        "ileyibhile": "Amacandelo oYilo",
        "idatha": [30, 20, 20, 15, 15],
        "umbala ongasemva": [
          "rgba(255, 99, 132, 0.2)",
          "rgba(54, 162, 235, 0.2)",
          "rgba(255, 206, 86, 0.2)",
          "rgba(75, 192, 192, 0.2)",
          "rgba(153, 102, 255, 0.2)"
        ],
        "Umbala womda": [
          "rgba(255, 99, 132, 1)",
          "rgba(54, 162, 235, 1)",
          "rgba(255, 206, 86, 1)",
          "rgba(75, 192, 192, 1)",
          "rgba(153, 102, 255, 1)"
        ],
        "BorderWidth": 1
      }
    ]
  },
  "iinketho": {
    "isihloko": {
      "bonisa": yinyani,
      "umbhalo": "Amacandelo eZakhiwo"
    },
    "legend": {
      "bonisa": yinyani
    }
  }
}

Lo mboniso ubonisa amacandelo amahlanu oyilo lwethu, kunye nokungeniswa kwedatha kunye namacandelo okucubungula athatha esona sabelo sikhulu.

Isiphelo

Kweli nqaku, sibonise indlela yokwakha i-architecture enobungozi yophando lwesiganeko esizenzekelayo usebenzisa i-DSPy kunye neLangChain. Ngokudibanisa amandla ezi tekhnoloji zimbini zokusika, senze inkqubo eyomeleleyo nesebenzayo ephucula impumelelo kunye nokusebenza kweDevOps. Sikwabonelele ngomzekelo wophumezo olusebenzayo, kubandakanywa iziqwengana zekhowudi kunye nokubonwa koyilo lwezakhiwo. Ngokwamkela olu lwakhiwo, imibutho inokuphucula amaxesha abo okuphendula izehlo, ukunciphisa ixesha lokuphumla, kwaye yandise ukuthembeka kwenkqubo iyonke.

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