Ho hlophisa AI-Powered Software Development ka LangChain le DSPy | B4N1

Ho hlophisa AI-Powered Software Development ka LangChain le DSPy

3 months ago · b4n1 Tiempo de lectura: 6 min

Ho hlophisa Ntlafatso ea Software ea AI-Powered ka LangChain le DSPy

Selelekela

Sebopeho sa nts'etsopele ea software se ntse se tsoela pele ka potlako, ka lisebelisoa le mahlale a AI a bapalang karolo e ntseng e hola ho li-automation tsa DevOps le meralo ea software. Libapali tse peli tse hlahelletseng sebakeng sena ke LangChain le DSPy, tse fanang ka bokhoni bo matla ba 'mino oa liletsa bakeng sa ho aha liphaephe tsa ntlafatso ea software tse tsamaisoang ke AI. Sehloohong sena, re tla shebana le lefats'e la LangChain le DSPy, re hlahloba bokhoni ba bona, melemo, le lisebelisoa tse sebetsang ho nts'etsopele ea software e tsamaisoang ke AI.

LangChain ke eng?

LangChain ke mohloli o bulehileng, moralo o thehiloeng ho Python bakeng sa ho haha ​​lisebelisoa tsa puisano tsa AI. E fana ka lisebelisoa tse matla tsa ts'ebetso ea puo ea tlhaho (NLP), ho ithuta ka mochini (ML), le nts'etsopele ea software, e e etsa khetho e nepahetseng bakeng sa lipeipi tsa nts'etsopele ea software e tsamaisoang ke AI. Likarolo tsa mantlha tsa LangChain li kenyelletsa:

  • Moqoqo oa AI: LangChain e thusa batho ba ntlafatsang ho haha ​​likhokahano tsa lipuisano, tse kang li-chatbots le bathusi ba lentsoe, ba sebelisa mekhoa ea NLP le ML.
  • **Ntšetso-pele ea Software **: LangChain e fana ka lisebelisoa tse ngata bakeng sa nts'etsopele ea software, ho kenyelletsa tlhahiso ea khoutu, ho lokisa liphoso le ho hlahloba.
  • ** Orchestration **: Bokhoni ba 'mino oa LangChain bo lumella bahlahisi hore ba iketsetse mekhoa e rarahaneng ea ho sebetsa le liphaephe, ho etsa hore ho be bonolo ho laola merero e meholo ea ntlafatso ea software.

DSPy ke eng?

DSPy ke moralo o thehiloeng ho Python bakeng sa ho aha mahlale a data le lipeipi tsa ho ithuta ka mochini. E fana ka mefuta e mengata ea lisebelisoa bakeng sa ho lokisa data esale pele, boenjineri ba likarolo, koetliso ea mohlala le phepelo. Likarolo tsa mantlha tsa DSPy li kenyelletsa:

  • Saense ea Boitsebiso: DSPy e thusa bahlahisi ho etsa lipeipi tsa mahlale a data, ho kenyeletsoa ho kenya data, ho sebetsa le ho sekaseka.
  • Ho Ithuta ka Mochini: DSPy e fana ka mefuta e mengata ea lisebelisoa bakeng sa ho ithuta ka mochini, ho kenyeletsoa koetliso ea mohlala, tokiso, le ho tsamaisa.
  • Mokhabiso oa 'mino: Bokhoni ba 'mino oa DSPy bo lumella bahlahisi hore ba iketsetse tšebetso e rarahaneng le lipeipi, ho nolofaletsa ho laola merero e meholo ea mahlale a data le merero ea ho ithuta ka mochini.

Ho hlophisa Ntlafatso ea Software ea AI-Powered ka LangChain le DSPy

Ho bontša matla a LangChain le DSPy ho nts'etsopele ea software e tsamaisoang ke AI, a re ke re hlahlobeng mohlala o bonolo. Ha re re re batla ho theha phaephe ea ntlafatso ea software e tsamaisoang ke AI e tsamaisang mesebetsi e latelang:

  1. Tlhahiso ea Khoutu: Hlahisa mongolo oa mantlha oa Python bakeng sa ts'ebeliso ea tepo o sebelisa thempleite.
  2. Tlhahlobo ea Khoutu: Hlahloba khoutu e hlahisitsoeng bakeng sa liphoso le ho fana ka maikutlo a ntlafatso.
  3. Teko: Etsa liteko tse iketsetsang khoutu e hlahisitsoeng ho netefatsa hore e finyella litekanyetso tse hlokahalang.
  4. Deployment: Kenya khoutu e hlahisitsoeng sethaleng sa maru.

Mona ke khoutu e bonolo e bonts'ang mokhoa oa ho sebelisa LangChain le DSPy ho iketsetsa phaephe ena:

import langchain
ho tsoa ho langchain.chains import ConversationalAI
ho tsoa ho langchain.llms kenya LLM


pipeline = ConversationalAI(
    llm=LLM("text-davinci-003"),
    ketane=[
        langchain.PipelineStep(
            lebitso = "Moloko oa Khoutu",
            func=lambda x: f"import flask\napp = flask.Flask(__name__)\n@app.route('/')\ndef index():\n return'Hello World!'",
        ),
        langchain.PipelineStep(
            lebitso = "Tlhahlobo ea Khoutu",
            func=lambda x: "Khoutu e hlahisitsoeng e shebahala e le ntle, empa nahana ka ho eketsa ho sebetsana le liphoso.",
        ),
        langchain.PipelineStep(
            lebitso = "Teko",
            func=lambda x: "Ho etsa liteko...\nPASS: index()",
        ),
        langchain.PipelineStep(
            lebitso = "Tsamaiso",
            func=lambda x: "Ho isoa sethaleng sa maru...\nKatleho!",
        ),
    ],
)

# Tsamaisa lipeipi
sephetho = pipeline.run(input="Hlahisa mongolo oa mantlha oa Python bakeng sa ts'ebeliso ea webo.")

hatisa(sephetho)

Sebaka sena sa khoutu se bonts'a mokhoa oa ho sebelisa LangChain le DSPy ho iketsetsa phaephe ea ntlafatso ea software e tsamaisoang ke AI. Phaephe e na le mehato e mene: tlhahiso ea khoutu, tlhahlobo ea khoutu, tlhahlobo, le ho tsamaisoa. Mohato o mong le o mong o sebelisoa ho sebelisoa mohato oa pipeline ea LangChain, e hlalosang mosebetsi o itseng o lokelang ho etsoa.

Melemo ea LangChain le DSPy

Melemo ea ho sebelisa LangChain le DSPy ho nts'etsopele ea software e tsamaisoang ke AI e mengata:

  • **Automation **: LangChain le DSPy li thusa bahlahisi ho iketsetsa liphaello tse rarahaneng tsa mosebetsi le liphaephe, ho etsa hore ho be bonolo ho laola merero e meholo ea ntlafatso ea software.
  • Boitsebelo: Ka ho iketsetsa mesebetsi e iphetang, bahlahisi ba ka tsepamisa maikutlo mesebetsing ea boemo bo holimo e hlokang boqapi le mahlale a ho rarolla mathata.
  • **Tsamaiso **: LangChain le DSPy li netefatsa ho tsitsisa lits'ebetsong tsa ntlafatso ea software, ho fokotsa kotsi ea liphoso le ho ntlafatsa boleng ba kakaretso.
  • Scalability: LangChain le DSPy li thusa bahlahisi ho lekanya liphaephe tsa ntlafatso ea software ho fihlela litlhoko tsa merero e meholo.

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

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

  1. langchain.PipelineStep: E hlalosa mosebetsi o itseng o lokelang ho etsoa ka phaephe.
pipeline_step = langchain.PipelineStep(
    lebitso = "Moloko oa Khoutu",
    func=lambda x: f"import flask\napp = flask.Flask(__name__)\n@app.route('/')\ndef index():\n return'Hello World!'",
)
  1. langchain.ConversationalAI: E hlalosa phaephe ea puisano ea AI.
pipeline = langchain.ConversationalAI(
    llm=LLM("text-davinci-003"),
    ketane=[pipeline_step],
)
  1. DSPy.DataPipeline: E hlalosa phaephe ea saense ea data.
pipeline = DSPy.DataPipeline(
    data_source="https://example.com/data.csv",
    data_transformer=lambda x: x["column1"] + x["column2"],
)
  1. DSPy.ModelPipeline: E hlalosa phaephe ea ho ithuta ka mochine.
pipeline = DSPy.ModelPipeline(
    mohlala = "linear_regression",
    data_source="https://example.com/data.csv",
    data_transformer=lambda x: x["column1"] + x["column2"],
)
  1. langchain.LLM: E hlalosa mohlala oa puo.
llm = langchain.LLM("text-davinci-003")
  1. DSPy.DataTransformer: E hlalosa data transformer.
transformer = DSPy.DataTransformer(lambda x: x["column1"] + x["column2"])
  1. DSPy.ModelTrainer: E hlalosa mokoetlisi oa mohlala.
mokoetlisi = DSPy.ModelTrainer(mohlala="linear_regression")
  1. langchain.Pipeline: E hlalosa phaephe.
pipeline = langchain.Pipeline(
    ketane=[pipeline_step],
)
  1. DSPy.DataLoader: E hlalosa setlalli sa data.
mojaro = DSPy.DataLoader(data_source="https://example.com/data.csv")
  1. DSPy.ModelDeployer: E hlalosa mochine o tsamaisang mohlala.
mosebelisi = DSPy.ModelDeployer(mohlala="linear_regression")

Pono ya pono

Mona ke pono ea phaephe ea LangChain le DSPy e sebelisang Chart.js:

{
  "type": "bar",
  "data": {
    "labels": ["Moloko oa Khoutu", "Tlhahlobo ea Khoutu", "Teko", "Deployment"],
    "lintlha tsa boitsebiso": [
      {
        "label": "LangChain",
        "data": [10, 8, 12, 15],
        "backgroundColor": "rgba(255, 99, 132, 0.2)",
        "borderColor": "rgba(255, 99, 132, 1)",
        "borderWidth": 1
      },
      {
        "label": "DSPy",
        "data": [8, 10, 12, 15],
        "backgroundColor": "rgba(54, 162, 235, 0.2)",
        "borderColor": "rgba(54, 162, 235, 1)",
        "borderWidth": 1
      }
    ]
  },
  "likgetho": {
    "sehlooho": {
      "bontša": 'nete,
      "text": "LangChain le DSPy Pipeline"
    },
    "makala": {
      "yAxes": [
        {
          "li-ticks": {
            "beginAtZero": 'nete
          }
        }
      ]
    }
  }
}

Pono ena e bonts'a palo ea mesebetsi e entsoeng ke LangChain le DSPy ka liphaephe. Axis ea x e emetse mesebetsi, 'me axis ea y e emela palo ea mesebetsi e etsoang.

Qetello

LangChain le DSPy li fana ka bokhoni bo matla ba 'mino oa liletsa bakeng sa ho aha liphaephe tsa ntlafatso ea software tse tsamaisoang ke AI. Ka ho iketsetsa tšebetso e rarahaneng ea liphaephe le liphaephe, bahlahisi ba ka tsepamisa maikutlo mesebetsing ea boemo bo holimo e hlokang boqapi le bokhoni ba ho rarolla mathata. Melemo ea ho sebelisa LangChain le DSPy e kenyelletsa ho iketsetsa, ho sebetsa hantle, ho tsitsisa, le scalability. Ka LangChain le DSPy, bahlahisi ba ka haha ​​liphaephe tsa nts'etsopele ea software ea puisano ea AI-powered e finyellang litlhoko tsa merero e meholo.

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