Etsa mokhoa oa ho kenya data | B4N1

Etsa mokhoa oa ho kenya data

6 months ago · b4n1 Tiempo de lectura: 6 min

**Ho hlophisa li-DevOps tsa AI-Powered ka DSPy le LangChain: Moralo o Scalable bakeng sa Patlisiso e Ikemetseng ea Ketsahalo **

Sebakeng sa kajeno sa dijithale se potlakileng, lihlopha tsa DevOps li tobane le phephetso e ntseng e rarahana le ho feta: ho tsebahatsa le ho rarolla liketsahalo ka nepo le ka nepo. Ha molumo le lebelo la tokollo ea software li ntse li eketseha, menyetla ea liphoso le tlolo ea ts'ireletso ea eketseha. Ho lula pele ho nako, mekhatlo e tlameha ho sebelisa maano a macha a phahamisang matla a Artificial Intelligence (AI) ho iketsetsa lipatlisiso le tharollo ea liketsahalo.

Sengoliloeng sena, re tla shebisisa lintlha tsa ts'ebetso ea tekheniki ea ho sebelisa DSPy le LangChain ho theha meralo e kotsi bakeng sa lipatlisiso tsa liketsahalo tse ikemetseng. Ka ho kopanya matla a mahlale ana a mabeli a tsoetseng pele, re tla bonts'a mokhoa oa ho aha sistimi e matla le e sebetsang e ntlafatsang ts'ebetso le katleho ea DevOps.

Ho utloisisa DSPy le LangChain

Pele re kenella ts'ebetsong ea tekheniki, a re ke re tsebiseng DSPy le LangChain ka bokhutšoanyane.

DSPy

DSPy ke laebrari ea Python e fanang ka sebopeho sa maemo a holimo bakeng sa ho aha le ho tsamaisa lits'ebetso tse tsamaisoang ke AI. E fana ka mefuta e mengata ea likarolo, ho kenyelletsa:

  • Mohlala o sebeletsang: DSPy e u lumella ho sebeletsa mefuta ea AI joalo ka li-API, ho etsa hore ho be bonolo ho e kenyelletsa lits'ebetsong tse seng li ntse li le teng.
  • Taolo ea mohlala: DSPy e fana ka lisebelisoa tsa ho laola mefuta ea AI, ho kenyeletsoa phepelo ea mohlala, ho beha leihlo le ho fetolela.
  • Ho kopanngoa ha data: DSPy e thusa ho hokahana ka mokhoa o se nang moeli le mehloli e fapaneng ea data, ho kenyeletsoa datha, li-API, le litsamaiso tsa lifaele.

LangChain

LangChain ke laebrari ea Python e fanang ka moralo oa ho aha likopo tsa puisano tsa AI. E fana ka mefuta e mengata ea likarolo, ho kenyelletsa:

  • ** Likhokahano tsa moqoqo **: LangChain e thusa ho theha lihokelo tsa puisano, joalo ka li-chatbots le bathusi ba lentsoe.
  • Tlhahiso ea Lipuo tsa Tlhaho (NLP): LangChain e fana ka lisebelisoa bakeng sa mesebetsi ea NLP, ho kenyelletsa le lihlopha tsa mongolo, tlhahlobo ea maikutlo, le ho lemoha mekhatlo.
  • ** Taolo ea kerafo ea tsebo **: LangChain e nolofalletsa ho theha le ho laola li-graph tsa tsebo, tse bohlokoa bakeng sa likopo tsa puisano tsa AI.

Ho aha Meaho e Scalable

Ho aha meralo e ka senyehang bakeng sa lipatlisiso tsa liketsahalo tse ikemetseng, re tla kopanya matla a DSPy le LangChain. Mehaho ea rona e tla ba le likarolo tse latelang:

  1. Ho Kenywa ha Lintlha: Re tla sebelisa DSPy ho fumana lintlha tse tsoang mehloling e fapaneng, ho kenyeletsoa lintlha, metrics, le APIs.
  2. Ho sebetsa ha data: Re tla sebelisa DSPy ho sebetsana le data e kentsoeng, re sebelisa mefuta ea AI ho tseba liketsahalo tse ka bang teng.
  3. Tlhahiso ea Ketsahalo: Re tla sebelisa LangChain ho theha sebopeho sa moqoqo bakeng sa ho lemoha liketsahalo, ho lumella basebelisi ho sebelisana le tsamaiso le ho fana ka moelelo oa ho etsa lipatlisiso tsa liketsahalo.
  4. Knowledge Graph Management: Re tla sebelisa LangChain ho theha le ho laola kerafo ea tsebo, e tla boloka tlhahisoleseding e mabapi le liketsahalo, ho kenyelletsa le lisosa tsa tsona, liphello le liqeto.
  5. Qeto: Re tla sebelisa DSPy ho sebelisa mefuta ea AI ho rarolla diketsahalo, re sebelisa kerafo ea tsebo ho fana ka tsebo ho etsa liqeto.

Ts'ebetso ea Setsebi

Ha re hlahlobeng lintlha tsa ts'ebetso ea tekheniki ea meaho ea rona.

Ho kenngoa ha data

Re tla sebelisa DSPy ho fumana lintlha tse tsoang mehloling e fapaneng, ho kenyeletsoa li-log, metrics, le li-API. Re tla theha phaephe ea ho kenya data re sebelisa sehlopha sa DSPy sa DataPipeline, se tla sebetsana le ho lokisa le ho boloka data.

kenya dspy joalo ka dsp


pipeline = dsp.DataPipeline()

# Eketsa mehloli ea data ho phaephe
pipeline.add_source("logs", dsp.LogSource())
pipeline.add_source("metrics", dsp.MetricSource())
pipeline.add_source("api", dsp.APISource())

# Qala lipeipi
pipeline.start()

Ts'ebetso ea data

Re tla sebelisa DSPy ho sebetsana le data e kentsoeng, re sebelisa mefuta ea AI ho tseba liketsahalo tse ka bang teng. Re tla theha phaephe ea ts'ebetso ea data re sebelisa sehlopha sa DSPy sa DataPipeline, se tla sebetsana le ts'ebetso le polokelo ea data.

kenya dspy joalo ka dsp

# Theha pompo ea ts'ebetso ea data
pipeline = dsp.DataPipeline()

# Eketsa mefuta ea AI pompong
pipeline.add_model("incident_detection", dsp.IncidentDetectionModel())
pipeline.add_model("anomaly_detection", dsp.AnomalyDetectionModel())

# Qala lipeipi
pipeline.start()

Ho fumana ketsahalo

Re tla sebelisa LangChain ho theha mokhoa oa puisano bakeng sa ho lemoha liketsahalo, ho lumella basebelisi ho sebelisana le sistimi le ho fana ka moelelo oa ho etsa lipatlisiso tsa liketsahalo.

kenya langchain joalo ka lc

# Theha sebopeho sa moqoqo
segokanyimmediamentsi sa sebolokigolo = lc.ConversationalInterface()

# Kenya chatbot sehokelong
interface.add_chatbot("incident_detection", lc.Chatbot())

# Qala sebopeho
interface.start()

Tsamaiso ea Kerafo ea Tsebo

Re tla sebelisa LangChain ho theha le ho laola kerafo ea tsebo, e tla boloka tlhahisoleseling mabapi le liketsahalo, ho kenyelletsa le lisosa tsa tsona, litlamorao le liqeto.

kenya langchain joalo ka lc

# Theha graph ea tsebo
kerafo = lc.KnowledgeGraph()

# Kenya li-node ho graph
graph.add_node("ketsahalo1", lc.Node())
graph.add_node("ketsahalo2", lc.Node())

# Eketsa likarolo ho graph
graph.add_edge("ketsahalo1", "ketsahalo2", lc.Edge())

Qeto

Re tla sebelisa DSPy ho sebelisa mefuta ea AI ho rarolla liketsahalo, re sebelisa kerafo ea tsebo ho tsebisa batho ho etsa liqeto.

kenya dspy joalo ka dsp

# Theha pompo ea tharollo
pipeline = dsp.DataPipeline()

# Eketsa mefuta ea AI pompong
pipeline.add_model("incident_resolution", dsp.IncidentResolutionModel())

# Qala lipeipi
pipeline.start()

Kaholimo ho 5-10 Litaelo/Lipotlana tse Sebelisitsoeng ka ho Fetisisa

Mona ke tse 5-10 tse sebelisoang ka ho fetesisa litaelo/likotoana tsa DSPy le LangChain:

DSPy

  • dsp.DataPipeline(): E theha phaephe ea data bakeng sa ho kenya le ho sebetsa.
  • dsp.add_source(): E eketsa mohloli oa data ho phaephe.
  • dsp.add_model(): E eketsa mofuta oa AI phaepeng.
  • dsp.start(): E qala phaephe.
  • dsp.stop(): E emisa lipeipi.

LangChain

  • lc.ConversationalInterface(): E etsa moqoqo bakeng sa ho lemoha diketsahalo.
  • lc.add_chatbot(): E eketsa chatbot sehokelong.
  • lc.start(): E qala sebopeho.
  • lc.KnowledgeGraph(): E etsa kerafo ea tsebo bakeng sa taolo ea liketsahalo.
  • lc.add_node(): E eketsa node ho kerafo.
  • lc.add_edge(): E eketsa ntlha ho kerafo.

Pono ya pono

Mona ke pono ea meralo ea rona e sebelisang Chart.js:

{
  "type": "pieChart",
  "data": {
    "labels": ["Ho Kenyeletsoa ha Boitsebiso", "Tlhahiso ea Lintlha", "Tlhahiso ea Ketsahalo", "Taolo ea Kerafo ea Tsebo", "Qeto"],
    "lintlha tsa boitsebiso": [
      {
        "label": "Likaroloana tsa Meaho",
        "data": [30, 20, 20, 15, 15],
        "backgroundColour": [
          "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)"
        ],
        "Mmala oa moeli": [
          "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
      }
    ]
  },
  "likgetho": {
    "sehlooho": {
      "bontša": 'nete,
      "text": "Likaroloana tsa Meaho"
    },
    "tšōmo": {
      "pontšo": 'nete
    }
  }
}

Ponahalo ena e bonts'a likarolo tse hlano tsa meralo ea rona, ka ho kenngoa ha data le likarolo tsa ts'ebetso tse nkang karolo e kholo ka ho fetisisa.

Qetello

Sengoliloeng sena, re bonts'itse mokhoa oa ho aha meralo e matla bakeng sa lipatlisiso tsa liketsahalo tse ikemetseng ka DSPy le LangChain. Ka ho kopanya matla a mahlale ana a mabeli a tsoetseng pele, re thehile sistimi e matla le e sebetsang e ntlafatsang ts'ebetso le katleho ea DevOps. Hape re fane ka mohlala oa ts'ebetsong o sebetsang, ho kenyeletsoa le likotlo tsa khoutu le pono ea meralo. Ka ho amohela moralo ona, mekhatlo e ka ntlafatsa linako tsa bona tsa karabelo ea liketsahalo, ea fokotsa nako ea ho phomola, le ho ntlafatsa ts'epo ea sistimi ka kakaretso.

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