Dala isibonelo se-LangChain

Ukuhlela i-AI-Powered Software Development nge-LangChain ne-DSPy

Isingeniso

Ukuthuthuka okusheshayo kwe-Artificial Intelligence (AI) kanye Nokufunda Ngomshini (ML) kuguqule isimo sokuthuthukiswa kwesofthiwe. Amamodeli Olimi Amakhulu (LLMs) afana ne-LangChain ne-DSPy avele njengamathuluzi anamandla okuzenzakalela izici ezihlukahlukene zokuthuthukiswa kwesofthiwe. Kodwa-ke, ukuhlanganisa la mathuluzi aqhutshwa yi-AI nezinqubo ezingcono kakhulu zobunjiniyela besoftware kungaba inselele. Kulesi sihloko, sizohlola indlela ehlanganisiwe yokuthuthukiswa kwesofthiwe kusetshenziswa i-LangChain ne-DSPy, sigxile ekuhlanganisweni kwe-LLMs nezinqubo ezingcono kakhulu zobunjiniyela besofthiwe kanye nokusetshenziswa kwamathuluzi omculo we-orchestration ukuze kulungiswe inqubo yokuthuthukiswa.

Iyini i-LangChain?

I-LangChain iyilabhulali yomthombo ovulekile evumela abathuthukisi ukuthi bakhe izinhlelo zokusebenza ezisebenza ngamandla e-AI besebenzisa Amamodeli Olimi Olukhulu (LLMs). Ihlinzeka nge-API elula nenembile yokusebenzelana nama-LLM, okwenza kube lula ukuwahlanganisa nokugeleza komsebenzi wokuthuthukisa isofthiwe. I-LangChain isekela ama-LLM ahlukahlukene, kufaka phakathi adumile njenge-LLaMA ne-BERT.

Iyini i-DSPy?

I-DSPy iwumtapo wezincwadi wePython ohlinzeka ngendlela elula nephumelelayo yokusebenzisana namamodeli olimi olukhulu (LLMs). Ivumela abathuthukisi ukuthi basebenzise ama-LLM emisebenzini efana nokukhiqiza umbhalo, ukuhlukanisa, nokuhlanganisa. I-DSPy yakhelwe ukuthi ibe nokukaleka kakhulu futhi ingaphatha imiqulu emikhulu yedatha.

Indlela yeHybrid ekuthuthukisweni kwesoftware

Indlela exubile yokuthuthukiswa kwesofthiwe ihlanganisa ukuhlanganisa amathuluzi aqhutshwa yi-AI afana ne-LangChain ne-DSPy nezinqubo ezingcono kakhulu zobunjiniyela besofthiwe. Le ndlela ikhulisa amandla awo yomibili imihlaba, ivumela onjiniyela ukuthi benze imisebenzi ephindaphindwayo ngokuzenzakalelayo futhi bagxile ekwakhiweni kwezinga eliphezulu nezakhiwo.

Izinzuzo ze-Hybrid Approach

Indlela ehlanganisiwe yokuthuthukiswa kwesoftware inikeza izinzuzo eziningi, kufaka phakathi:

Ukukhiqiza okuthuthukisiwe: Ngokwenza imisebenzi ephindaphindwayo ngokuzenzakalela, onjiniyela bangagxila ekwakhiweni nasekuklanyweni kwezinga eliphezulu, okuholela ekwandeni kokukhiqiza.
Ikhwalithi ethuthukisiwe: Amathuluzi aqhutshwa yi-AI afana ne-LangChain ne-DSPy angasiza ekuboneni amaphutha nokungahambisani, athuthukise ikhwalithi iyonke yesofthiwe.
Ukubambisana okuthuthukisiwe: Indlela exubile yenza onjiniyela bakwazi ukusebenza ndawonye ngempumelelo, ukwabelana ngolwazi nobungcweti ukuze bakhe isofthiwe engcono.

Ukuhlela i-AI-Powered Software Development

Ukuhlela ukuthuthukiswa kwesofthiwe enikwe amandla yi-AI kuhilela ukusebenzisa amathuluzi afana ne-LangChain ne-DSPy ukuze wenze ngokuzenzakalelayo izici ezihlukahlukene zenqubo yokuthuthukisa. Lokhu kungafaka imisebenzi efana nale:

Ukwenziwa kwekhodi: Ukusebenzisa ama-LLM ukwenza ikhodi yemisebenzi evamile, njengokucubungula idatha noma ukuhlanganiswa kwe-API.
Ukubuyekezwa kwekhodi: Ukusebenzisa amathuluzi ashayelwa yi-AI ukuze ubuyekeze ikhodi ukuze uthole amaphutha nokungahambisani.
Ukuhlola: Ukusebenzisa ama-LLM ukuze kukhiqizwe amacala okuhlola kanye nokuhlola okuzenzakalelayo.

Isibonelo Esisebenzayo: Ukusebenzisa i-LangChain ukuze Ukhiqize Ikhodi

Nasi isibonelo esilula sokusebenzisa i-LangChain ukwenza ikhodi:

ngenisa i-langchain


langchain_instance = langchain.LLMAgent(
    model_name="lambada",
    ubuningi_ubude=100,
    izinga lokushisa=0.7,
)

# Chaza umyalo wokwenza ikhodi
prompt = "Dala umsebenzi wePython ukuze ubale isamba sezinombolo ezimbili."

# Khiqiza ikhodi usebenzisa isibonelo se-LangChain
ikhodi = langchain_instance.generate(prompt)

phrinta(ikhodi)

Le khodi isebenzisa umtapo wezincwadi we-LangChain ukudala isibonelo semodeli ye-LLaMA, esetshenziselwa ukukhiqiza ikhodi yomsebenzi olula wePython.

Imiyalo/Amazwibela Aphezulu Okuyi-5-10

Nansi eminye yemiyalo evame ukusetshenziswa kakhulu namazwibela we-LangChain ne-DSPy:

LangChain

langchain.LLMAgent(model_name="lambada", max_length=100, temperature=0.7): Idala isibonelo semodeli ye-LLaMA.
langchain_instance.generate(prompt): Ikhiqiza ikhodi kusetshenziswa isibonelo se-LangChain. DSPy
dsp.DSPy(model_name="bert-base-uncased"): Idala isibonelo semodeli ye-BERT.
dsp_instance.predict(text): Yenza izibikezelo kusetshenziswa isenzakalo se-DSPy.

Ukubona

Nakhu ukubuka ngeso lengqondo okulula kwendlela eyingxube yokuthuthukisa isoftware kusetshenziswa i-Chart.js:

{
  "type": "bar",
  "idatha": {
    "labels": ["Ukukhiqizwa Kwekhodi", "Ukubuyekezwa Kwekhodi", "Ukuhlola"],
    "idathasethi": [
      {
        "label": "LangChain",
        "idatha": [10, 20, 30],
        "backgroundColor": "rgba(255, 99, 132, 0.2)",
        "borderColor": "rgba(255, 99, 132, 1)",
        "BorderWidth": 1
      },
      {
        "label": "DSPy",
        "idatha": [20, 30, 40],
        "backgroundColor": "rgba(54, 162, 235, 0.2)",
        "borderColor": "rgba(54, 162, 235, 1)",
        "BorderWidth": 1
      }
    ]
  },
  "izinketho": {
    "isihloko": {
      "Display": iqiniso,
      "text": "Indlela eHybrid ekuthuthukisweni kwesoftware"
    },
    "izikali": {
      "yAxes": [
        {
          "imikhaza": {
            "beginAtZero": kuyiqiniso
          }
        }
      ]
    }
  }
}

Leli shadi libonisa ukubaluleka okuhlobene kokukhiqizwa kwekhodi, ukubuyekezwa kwekhodi, nokuhlola endleleni eyingxube yokuthuthukiswa kwesofthiwe.

Isiphetho

Indlela ehlanganisiwe yokuthuthukiswa kwesofthiwe isebenzisa i-LangChain ne-DSPy inikeza indlela enamandla yokwenza izici ezihlukahlukene zenqubo yokuthuthukiswa. Ngokuhlanganisa amathuluzi aqhutshwa yi-AI nezinqubo ezihamba phambili zobunjiniyela besofthiwe yendabuko, abathuthukisi bangakhuphula umkhiqizo, bathuthukise ikhwalithi, futhi bathuthukise ukusebenzisana. Isibonelo esisebenzayo kanye nemiyalo/ amazwibela asetshenziswa kakhulu ayi-10 anikezwe kulesi sihloko abonisa ukusebenziseka kalula nokuguquguquka kwe-LangChain ne-DSPy.

Dala isibonelo se-LangChain

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