Yenza i-arhente ye-AI usebenzisa i-DSPy

Ukumanyanisa i-DSPy kunye neLangChain kuPhuhliso lweSoftware ye-AI-Driven Advanced

Intshayelelo

Intsimi yophuhliso lwesoftware ikhula ngokukhawuleza, ngokunyuka kokwamkelwa kweArtificial Intelligence (AI) kunye neendlela zokuFunda ngoMatshini (ML). Iilayibrari ezimbini ezidumileyo zePython, i-DSPy kunye neLangChain, ifumana i-traction kwindawo yophuhliso lwesoftware eqhutywa yi-AI. Kweli nqaku, siya kukhangela ekudityanisweni kwe-DSPy kunye neLangChain, sihlolisise i-orchestration yabo ye-AI agents kunye neeModeli zoLwimi olukhulu (LLMs) ukuphucula iinkqubo zobunjineli besofthiwe kunye nokulungelelanisa ukuhamba komsebenzi.

Yintoni i-DSPy?

I-DSPy lithala leencwadi lePython elibonelela ngeseti yezixhobo zokwakha nokulawula ii-arhente ze-AI. Ivumela abaphuhlisi ukuba benze, baqeqeshe, kwaye basebenzise ii-arhente ze-AI ezinokwenza imisebenzi eyahlukahlukeneyo, njengohlalutyo lwedatha, ukulungiswa kolwimi lwendalo, kunye nokwenza izigqibo. I-DSPy yakhiwe phezu kwethala leencwadi lePyTorch elidumileyo kwaye ibonelela nge-API elula necacileyo yokwakha iiarhente ze-AI.

Yintoni iLangChain?

ILangChain yilayibrari yePython ebonelela ngeseti yezixhobo zokwakha nokulawula iiLLM. Ivumela abaphuhlisi ukuba benze, baqeqeshe, kwaye basebenzise ii-LLM ezinokwenza imisebenzi eyahlukeneyo, njengokuvelisa umbhalo, ukuphendula imibuzo, kunye nokuguqulela ulwimi. I-LangChain yakhiwe phezu kwelayibrari ye-Hugging Face Transformers eyaziwayo kwaye ibonelela nge-API elula kunye ne-intuitive yokwakha ii-LLM.

Ukudibanisa i-DSPy kunye neLangChain

Ukudityaniswa kwe-DSPy kunye neLangChain kuvumela abaphuhlisi ukuba benze izicelo ze-software eziqhutywa yi-AI ezinokuthi zenze imisebenzi eyahlukeneyo. Ngokudibanisa amandla e-AI agents kunye ne-LLMs, abaphuhlisi banokudala izicelo ezinokuhlalutya idatha, ukuvelisa isicatshulwa, kunye nokwenza izigqibo.

Nantsi ibhloko yekhowudi elula ebonisa ukudityaniswa kwe-DSPy kunye neLangChain:

ngenisa dSpy
ngenisa i-langchain


iarhente = dspy.Agent ()

# Yenza iLLM usebenzisa iLangChain
llm = langchain.LLM()

# Sebenzisa iarhente ye-AI ukuhlalutya idatha
idatha = {"igama": "uJohn", "ubudala": 30}
uhlalutyo = i-arhente.cazulula(idatha)

# Sebenzisa iLLM ukuvelisa isicatshulwa esekwe kuhlalutyo
umbhalo = llm.generate_text(uhlalutyo)

# Shicilela umbhalo owenziweyo
shicilela(okubhaliweyo)

Le khowudi yekhowudi ibonisa indlela yokwenza i-arhente ye-AI usebenzisa i-DSPy, i-LLM esebenzisa i-LangChain, kwaye isebenzise kunye ukuhlalutya idatha kunye nokuvelisa isicatshulwa.

Ulungelelwaniso lweearhente ze-AI kunye neeLLMs

I-orchestration yee-arhente ze-AI kunye ne-LLMs yinkalo ebalulekileyo yokudibanisa i-DSPy kunye neLangChain. Ngokudibanisa amandla eearhente ze-AI kunye nee-LLMs, abaphuhlisi banokwenza izicelo ezinokwenza imisebenzi eyahlukeneyo, efana nale:

Uhlalutyo lwedatha: Ii-arhente ze-AI zinokuhlalutya idatha, ngelixa ii-LLM zikwazi ukuvelisa isicatshulwa ngokusekelwe kuhlalutyo.
Ukuveliswa kombhalo: Ii-LLM ziyakwazi ukuvelisa isicatshulwa, ngelixa ii-arhente ze-AI zinokuhlalutya isicatshulwa kwaye zenze izigqibo.
Ukwenza izigqibo: Ii-arhente ze-AI zinokwenza izigqibo ngokusekelwe kuhlalutyo lwedatha, ngelixa ii-LLM zinokunika iingcebiso.

Nantsi imbonakalo yeorchestration yeearhente ze-AI kunye neeLLMs zisebenzisa iChart.js:

{
  "type": "bar",
  "idatha": {
    "labels": ["Uhlalutyo lweDatha", "IsiZukulwana sesiBhalo", "Ukwenziwa kwezigqibo"],
    "iiseti zedatha": [
      {
        "ileyibheli": "ii-AI Agents",
        "idatha": [10, 5, 8],
        "backgroundColor": "rgba(255, 99, 132, 0.2)",
        "borderColor": "rgba(255, 99, 132, 1)",
        "BorderWidth": 1
      },
      {
        "label": "LLMs",
        "idatha": [8, 10, 5],
        "backgroundColor": "rgba(54, 162, 235, 0.2)",
        "borderColor": "rgba(54, 162, 235, 1)",
        "BorderWidth": 1
      }
    ]
  },
  "iinketho": {
    "izikali": {
      "yAxes": [
        {
          "amanqaku": {
            "beginAtZero": yinyani
          }
        }
      ]
    }
  }
}

Lo mboniso ubonisa indlela ii-arhente ze-AI kunye nee-LLMs ezinokucwangciswa ngayo ukwenza imisebenzi eyahlukeneyo.

Ephezulu 5-10 Eyeyona Isetyenziswayo Imiyalelo/iziqwengana

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

dspy.Agent(): Yenza i-arhente ye-AI isebenzisa i-DSPy.
langchain.LLM(): Yenza iLLM usebenzisa iLangChain.
umenzeli.uhlalutya(idatha): Uhlalutya idatha usebenzisa i-arhente ye-AI.
llm.generate_text(uhlalutyo): Yenza umbhalo ngokusekelwe kuhlalutyo kusetyenziswa iLLM.
i-agent.make_decision(data): Yenza isigqibo ngokusekelwe kuhlalutyo lwedatha usebenzisa i-arhente ye-AI.
llm.get_recommendations(uhlalutyo): Ufumana iingcebiso ezisekelwe kuhlalutyo kusetyenziswa iLLM.
dspy.train_agent(data): Iqeqesha i-arhente ye-AI isebenzisa idatha enikiweyo.
langchain.train_llm(data): Uqeqesha iLLM usebenzisa idatha enikiweyo.
dspy.deploy_agent(): Isebenzisa i-arhente ye-AI.
langchain.deploy_llm(): Isebenzisa iLLM.

Isiphelo

Ukudityaniswa kwe-DSPy kunye neLangChain ibonelela ngesixhobo esinamandla sokwakha izixhobo zesoftware eziqhutywa yi-AI. Ngokudibanisa amandla e-AI agents kunye ne-LLMs, abaphuhlisi banokudala izicelo ezinokuhlalutya idatha, ukuvelisa isicatshulwa, kunye nokwenza izigqibo. I-orchestration ye-AI agents kunye ne-LLMs yinkalo ebalulekileyo yokudibanisa i-DSPy kunye ne-LangChain, kwaye ngokuqonda indlela yokusebenzisa ezi zixhobo kunye, abaphuhlisi banokwenza izicelo ezinokuthi zenze imisebenzi eyahlukeneyo.

Umsebenzi wexesha elizayo

Umsebenzi wexesha elizayo wokudibanisa i-DSPy kunye neLangChain ibandakanya:

Ukuphuhlisa iiarhente ze-AI eziphucukileyo kunye neeLLM ezinokwenza imisebenzi enzima.
Ukuphucula i-orchestration yee-arhente ze-AI kunye ne-LLMs ukwenza kube lula kubaphuhlisi ukusebenzisa ezi zixhobo kunye.
Ukudala izicelo ezininzi ezisebenzisa i-DSPy kunye neLangChain ukubonisa amandla abo.

IiReferensi

Amaxwebhu eDSPy: https://dspy.readthedocs.io/
Amaxwebhu eLangChain: https://langchain.readthedocs.io/
Amaxwebhu eTshati.js: https://www.chartjs.org/docs/latest/

Qaphela: Iibhloko zekhowudi kunye nemibono esetyenziswe kweli nqaku yenzelwe iinjongo zokubonisa kuphela kwaye ayinakuba yikhowudi yangempela okanye imiboniso esetyenziswa kwizicelo zehlabathi zangempela.

Yenza i-arhente ye-AI usebenzisa i-DSPy

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