Hoʻonohonoho ʻana i ka hoʻomohala ʻana i nā polokalamu polokalamu AI-Powered me LangChain a me DSPy

Ka hoʻonohonoho ʻana i ka hoʻomohala ʻana i nā polokalamu me ka LangChain a me DSPy

Hoʻolauna

Ke ulu wikiwiki nei ka ʻāina hoʻomohala polokalamu, me nā mea hana a AI-powered a me nā ʻenehana e pāʻani ana i kahi kūlana koʻikoʻi ma DevOps automation a me ka hoʻolālā polokalamu. ʻElua mau mea pāʻani kaulana i kēia wahi ʻo LangChain a me DSPy, e hāʻawi ana i nā mana orchestration ikaika no ke kūkulu ʻana i nā paipu hoʻomohala polokalamu hoʻomohala AI. Ma kēia ʻatikala, e ʻimi mākou i ka honua o LangChain a me DSPy, e ʻimi ana i ko lākou hiki, nā pōmaikaʻi, a me nā noi kūpono i ka hoʻomohala ʻana i nā polokalamu uila.

He aha ka LangChain?

ʻO LangChain kahi kumu wehe, Python-based framework no ke kūkulu ʻana i nā noi kamaʻilio AI. Hāʻawi ia i kahi pūʻulu paʻa o nā mea hana no ka hana ʻōlelo kūlohelohe (NLP), aʻo mīkini (ML), a me ka hoʻomohala polokalamu, e lilo ia i koho kūpono no nā paipu hoʻomohala polokalamu hoʻomohala AI. Loaʻa nā hiʻohiʻona koʻikoʻi o LangChain:

** Kūkākūkā AI **: Na LangChain hiki i nā mea hoʻomohala ke kūkulu i nā pilina kamaʻilio, e like me nā chatbots a me nā mea kōkua leo, me ka hoʻohana ʻana i nā ʻenehana NLP a me ML.
Software Development: Hāʻawi ʻo LangChain i kahi ʻano mea hana no ka hoʻomohala ʻana i nā polokalamu, me ka hoʻokumu ʻana i nā code, debugging, a me ka hoʻāʻo.
Orchestration: Hiki i nā mea hoʻomohala ke hoʻopololei i nā kahe hana paʻakikī a me nā pipeline, e maʻalahi ai ka mālama ʻana i nā papahana hoʻomohala polokalamu nui.

He aha ka DSPy?

ʻO DSPy kahi papa hana Python no ke kūkulu ʻana i ka ʻepekema data a me nā pipeline aʻo mīkini. Hāʻawi ia i kahi ʻano mea hana no ka preprocessing data, ʻenehana hiʻohiʻona, hoʻomaʻamaʻa hoʻohālike, a me ka hoʻolaha ʻana. ʻO nā hiʻohiʻona nui o DSPy:

Data Science: Hiki iā DSPy ke kūkulu i nā paipu ʻepekema ʻikepili, me ka ʻai ʻana i ka ʻikepili, ka hana ʻana, a me ka nānā ʻana.
Aʻo Mīkini: Hāʻawi ʻo DSPy i kahi ʻano mea hana no ke aʻo ʻana i ka mīkini, me ka hoʻomaʻamaʻa hoʻohālike, ka hoʻokani ʻana, a me ke kau ʻana.
Orchestration: Hiki i nā mea hoʻomohala ke hoʻohana i nā kahe hana paʻakikī a me nā pipeline, e maʻalahi ka hoʻokele ʻana i ka ʻepekema data nui a me nā papahana aʻo mīkini.

Ka hoʻonohonoho ʻana i ka hoʻomohala ʻana i nā polokalamu me ka LangChain a me DSPy

No ka hōʻike ʻana i ka mana o LangChain a me DSPy i ka hoʻomohala ʻana i ka polokalamu lako polokalamu AI, e noʻonoʻo kākou i kahi laʻana maʻalahi. Inā makemake mākou e kūkulu i kahi paipu hoʻomohala polokalamu hoʻomohala AI-powered e hoʻokaʻawale i nā hana aʻe:

Ka Hoʻokumu Code: E hana i kahi palapala Python maʻamau no ka palapala noi pūnaewele me ka hoʻohana ʻana i ka laʻana.
Hoʻoponopono Code: E nānā i ke code i hana ʻia no nā hewa a manaʻo e hoʻomaikaʻi.
Hoʻāʻo: E holo i nā hoʻāʻo ʻokoʻa ma ke code i hana ʻia e hōʻoia i ka hoʻokō ʻana i nā kūlana i koi ʻia.
Deployment: E hoʻolālā i ke code i hana ʻia i kahi paepae ma ke ao.

Eia kahi poloka code maʻalahi e hōʻike ana i ka hoʻohana ʻana iā LangChain a me DSPy e hoʻokaʻawale i kēia pipeline:

lawe mai i ka lanchain
mai ka langchain.chains lawe mai i ConversationalAI
mai langchain.llms lawe mai LLM


paipu = ConversationalAI(
    llm=LLM("text-davinci-003"),
    kaulahao=[
        langchain.PipelineStep(
            inoa = "Hoʻokumu Code",
            func=lambda x: f"puʻu lawe mai\napp = ipu.Flask(__name__)\n@app.route('/')\ndef index():\n return 'Aloha Honua!'",
        ),
        langchain.PipelineStep(
            inoa = "Ka helu helu helu",
            func=lambda x: "Maikaʻi ke code i hana ʻia, akā e noʻonoʻo e hoʻohui i ka lawelawe hewa.",
        ),
        langchain.PipelineStep(
            inoa = "Ho'āʻo",
            func=lambda x: "Ke holo nei i nā ho'āʻo...\nPASS: index()",
        ),
        langchain.PipelineStep(
            inoa = "Hoʻohana",
            func=lambda x: "Ke kau nei i ka paepae ao...\nPolopono!",
        ),
    ],
)

# Holo i ka paipu
hopena = pipeline.run(input="Hana i kahi palapala Python kumu no kahi noi pūnaewele.")

paʻi (hopena)

Hōʻike kēia poloka code i ka hoʻohana ʻana iā LangChain a me DSPy e hoʻomaʻamaʻa i kahi paipu hoʻomohala polokalamu hoʻomohala kamaʻilio AI. Aia ka pipeline i ʻehā mau ʻanuʻu: code generation, code review, testing, and deployment. Hoʻokō ʻia kēlā me kēia ʻanuʻu me ka hoʻohana ʻana i kahi hana pipeline LangChain, e wehewehe ana i kahi hana kikoʻī e hana ʻia.

Pomaikai o LangChain a me DSPy

He nui nā pōmaikaʻi o ka hoʻohana ʻana iā LangChain a me DSPy i ka hoʻomohala ʻana i ka polokalamu lako polokalamu AI-powered:

Automation: Hiki iā LangChain a me DSPy i nā mea hoʻomohala ke hoʻokaʻawale i nā kahe hana paʻakikī a me nā paipu, e maʻalahi ai ka hoʻokele ʻana i nā papahana hoʻomohala polokalamu nui.
Hōpono: Ma ka hana ʻana i nā hana hou, hiki i nā mea hoʻomohala ke kālele i nā hana kiʻekiʻe e koi ana i ka noʻonoʻo a me nā mākau hoʻoholo pilikia.
Ke kūlike: ʻO LangChain a me DSPy e hōʻoia i ka paʻa ʻana i nā kaʻina hana hoʻomohala polokalamu, e hōʻemi ana i ka pilikia o nā hewa a me ka hoʻomaikaʻi ʻana i ka maikaʻi holoʻokoʻa.
Scalability: ʻO LangChain a me DSPy hiki i nā mea hoʻomohala ke hoʻonui i nā paipu hoʻomohala polokalamu e hoʻokō i nā koi o nā papahana nui.

** 5-10 kiʻekiʻe loa i hoʻohana ʻia i nā kauoha/nā ʻāpana**

Eia ka 5-10 kiʻekiʻe loa i hoʻohana ʻia nā kauoha/snippets no LangChain a me DSPy:

langchain.PipelineStep: Wehewehe i kahi hana kiko'ī e hana ʻia ma kahi paipu.

pipeline_step = langchain.PipelineStep(
    inoa = "Hoʻokumu Code",
    func=lambda x: f"puʻu lawe mai\napp = ipu.Flask(__name__)\n@app.route('/')\ndef index():\n return 'Aloha Honua!'",
)

langchain.ConversationalAI: Wehewehe i kahi paipu AI kamaʻilio.

pipeline = langchain.ConversationalAI(
    llm=LLM("text-davinci-003"),
    kaulahao=[pipeline_step],
)

DSPy.DataPipeline: Wehewehe i kahi paipu ʻepekema ʻikepili.

paipu = DSPy.DataPipeline(
    data_source="https://example.com/data.csv",
    data_transformer=lambda x: x["column1"] + x["column2"],
)

DSPy.ModelPipeline: Wehewehe i ka paipu aʻo mīkini.

paipu = DSPy.ModelPipeline(
    model="linear_regression",
    data_source="https://example.com/data.csv",
    data_transformer=lambda x: x["column1"] + x["column2"],
)

langchain.LLM: Wehewehe i ke kŘkohu 'ōlelo.

llm = langchain.LLM("text-davinci-003")

DSPy.DataTransformer: Wehewehe i ka mea hoololi ikepili.

mea hoʻololi = DSPy.DataTransformer(lambda x: x["column1"] + x["column2"])

DSPy.ModelTrainer: Wehewehe i ke kumu hoʻohālike.

mea hoʻomaʻamaʻa = DSPy.ModelTrainer(model="linear_regression")

langchain.Pipeline: Wehewehe i kahi paipu.

pipeline = langchain.Pipeline(
    kaulahao=[pipeline_step],
)

DSPy.DataLoader: Wehewehe i ka hoʻoili ʻikepili.

loader = DSPy.DataLoader(data_source="https://example.com/data.csv")

DSPy.ModelDeployer: Wehewehe i ka mea hoʻolālā hoʻohālike.

deployer = DSPy.ModelDeployer(model="linear_regression")

Hōʻikeʻike

Eia kahi hiʻohiʻona o ka pipeline LangChain a me DSPy me ka hoʻohana ʻana iā Chart.js:

{
  "type": "pā",
  "ʻikepili": {
    "labels": ["Hoʻopuka Code", "Hoʻoponopono Code", "Ho'āʻo", "Hoʻohana"],
    "mau ʻikepili": [
      {
        "label": "LangChain",
        "ʻikepili": [10, 8, 12, 15],
        "backgroundColor": "rgba(255, 99, 132, 0.2)",
        "borderColor": "rgba(255, 99, 132, 1)",
        "BorderWidth": 1
      },
      {
        "label": "DSPy",
        "ʻikepili": [8, 10, 12, 15],
        "backgroundColor": "rgba(54, 162, 235, 0.2)",
        "borderColor": "rgba(54, 162, 235, 1)",
        "BorderWidth": 1
      }
    ]
  },
  "koho": {
    "poʻo inoa": {
      "hōʻike": ʻoiaʻiʻo,
      "text": "LangChain a me DSPy Pipeline"
    },
    "nā unahi": {
      "yAxes": [
        {
          "kuʻi": {
            "beginAtZero": ʻoiaʻiʻo
          }
        }
      ]
    }
  }
}

Hōʻike kēia hiʻohiʻona i ka helu o nā hana i hana ʻia e LangChain a me DSPy i kahi pipeline. Hōʻike ka axis x i nā hana, a ʻo ka axis y ka helu o nā hana i hana ʻia.

Hoʻoholo

Hāʻawi ʻo LangChain a me DSPy i nā mana orchestration ikaika no ke kūkulu ʻana i nā paipu hoʻomohala polokalamu hoʻokele AI. Ma ka hana ʻana i nā kahe hana paʻakikī a me nā pipeline, hiki i nā mea hoʻomohala ke nānā aku i nā hana kiʻekiʻe e koi ai i ka noʻonoʻo a me nā mākau hoʻoholo pilikia. ʻO nā pōmaikaʻi o ka hoʻohana ʻana iā LangChain a me DSPy e pili ana i ka automation, ka pono, ka kūlike, a me ka scalability. Me LangChain a me DSPy, hiki i nā mea hoʻomohala ke kūkulu i ke kamaʻilio AI-powered software development pipelines e hoʻokō i nā koi o nā papahana nui.

Hoʻonohonoho ʻana i ka hoʻomohala ʻana i nā polokalamu polokalamu AI-Powered me LangChain a me DSPy

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