Gadzira pombi yeDSPy

Kuronga AI-Driven Software Delivery neDSPy uye LangChain: A Technical Guide kune Automated Software Delivery Pipelines

Introduction

Iyo software-inotsanangurwa mota (SDV) shanduko iri kushandura indasitiri yemotokari nevimbiso yayo yekuwedzera kushanda zvakanaka, kuderedzwa kwemitengo, uye mashandiro akawedzerwa. Nekudaro, kuoma kwemasisitimu eSDV kunoda nzira yakaomesesa yekuendesa software, iyo inokwirisa simba rehungwaru hwekugadzira (AI) uye otomatiki. Muchikamu chino, tichaongorora maitiro ekugadzira AI-inotyairwa software kutumira uchishandisa DSPy neLangChain, maviri ekucheka-kumucheto matekinoroji anogonesa kubatanidzwa kweAI vamiririri, relational abstract graphs (RAGs), uye mikuru yemitauro mhando (LLMs) ine DevOps otomatiki maturusi.

Matambudziko eSoftware Delivery muSDVs

Mota dzakatsanangurwa neSoftware dzinovimba netiweki yakaoma yeakabatana masisitimu, anosanganisira akazvimirira kutyaira, infotainment, uye manejimendi emotokari. Hukuru uye kuoma kwemasisitimu aya kunoita kuti nzira dzechinyakare dzekuburitsa software dzisakwane. Matambudziko anosanganisira:

** Scalability **: SDV masisitimu anoda kukurumidza kutumirwa uye kuyera kuti isangane nekushanduka kwevashandisi zvinodiwa.
Kuita: Kuendeswa kweSoftware kunofanirwa kuve nechokwadi chekuita kwakanyanya, kuvimbika, uye kuchengetedzeka.
** Kuomarara **: SDV masisitimu anosanganisira akawanda vanobatika, matekinoroji, uye maitiro, zvichiita kuti zviome kubata uye kuronga kuendesa software.

Kuunza DSPy uye LangChain

DSPy neLangChain matekinoroji maviri ehunyanzvi anogadzirisa matambudziko ekuunza software mumaSDV. DSPy iPython-based framework yekuvaka uye kutumira mapepa ekufambisa software eAI-inotungamirirwa neAI, nepo LangChain iri raibhurari yeRust-based yekugadzira nekugadzirisa maLLM neRAGs.

DSPy: Iyo Python-Yakavakirwa Chimiro cheAI-Inotyairwa Software Delivery

DSPy inopa yakazara seti yezvishandiso uye maraibhurari ekuvaka uye kuendesa AI-inotyairwa software yekuburitsa mapaipi. Zvinhu zvayo zvakakosha zvinosanganisira:

** Pipeline orchestration **: DSPy inogonesa kugadzirwa uye manejimendi epaipi yakaoma yekuendesa software, kusanganisira mabasa, mafambiro ebasa, uye zvinoenderana.
** Kubatanidzwa kweAI **: DSPy inopa kubatanidzwa kusina musono neakakurumbira AI masimusi, akadai seTensorFlow uye PyTorch.
** DevOps otomatiki **: DSPy inotsigira kubatanidzwa neanozivikanwa maturusi eDevOps, akadai seJenkins uye GitLab.

**LangChain: Raibhurari Yakavakirwa Rust yeLLMs uye RAGs **

LangChain iRust-based library yekugadzira nekugadzirisa maLLM uye maRAG. Zvinhu zvayo zvakakosha zvinosanganisira:

**LLM kubatanidzwa **: LangChain inopa isina musono kubatanidzwa neanozivikanwa maLLM, akadai seBERT uye RoBERTa.
**RAG manejimendi **: LangChain inogonesa kusikwa uye manejimendi eRAGs, iyo inopa yakarongeka inomiririra yeruzivo magirafu.
**AI kufunga **: LangChain inotsigira AI kufunga uye kufungidzira uchishandisa maLLM uye maRAGs.

Kubatanidza DSPy uye LangChain yeAI-Driven Software Delivery

Kubatanidza DSPy uye LangChain, tinogona kushandisa inotevera kodhi kodhi semuenzaniso:

import dspy
kubva ku langchain import LLM, RAG


pombi = dspy.Pipeline(
    zita = "ai-driven-software-delivery",
    mabasa=[
        dspy.Task("vaka", "kuvaka-software"),
        dspy.Task("test", "test-software"),
        dspy.Task("deploy", "deploy-software")
    ]
)

# Gadzira iyo LLM uye RAG
llm = LLM("bert-base-uncased")
rag = RAG("software-delivery")

# Batanidza LLM uye RAG ine DSPy pombi
pipeline.add_task(dspy.Task("ai-reasoning", "ai-reasoning", llm, rag))

# Mhanya pombi
pipeline.run()

Iyi code block inoratidza nzira yekugadzira pombi yeDSPy, kubatanidza LLM neRAG uchishandisa LangChain, uye kumhanya pombi uchishandisa DSPy.

Pamusoro 5-10 Inonyanya Kushandiswa Mirairo/Zvidimbu

Heano epamusoro 5-10 anonyanya kushandiswa mirairo/zvimedu zveDSPy uye LangChain:

DSPy + dspy.Pipeline(): Gadzira pombi itsva yeDSPy. + dspy.Task(): Gadzira basa idzva mupombi. + pipeline.add_task(): Wedzera basa kune pombi. + pipeline.run(): Mhanyai pombi. LangChain + LLM(): Gadzira LLM itsva. + RAG(): Gadzira RAG itsva. + llm.train(): Rovedza iyo LLM. + rag.build(): Vaka iyo RAG.

Kuona

Heino ratidziro yepombi yeDSPy uchishandisa Chart.js:

{
  "type": "bha",
  "data": {
    "labels": ["Build", "Test", "Deploy", "AI Reasoning"],
    "datasets": [
      {
        "label": "Mabasa ePipeline",
        "data": [10, 20, 30, 40],
        "backgroundColor": ["#4CAF50", "#FF9800", "#2196F3", "#8BC34A"]
      }
    ]
  },
  "sarudzo": {
    "zita": {
      "kuratidza": chokwadi,
      "text": "DSPy Pipeline Tasks"
    },
    "zvikero": {
      "yAxes": [
        {
          "zvikwekwe": {
            "beginAtZero": chokwadi
          }
        }
      ]
    }
  }
}

Kuona uku kunoratidza mabasa epombi, anosanganisira kuvaka, kuyedza, kuendesa, uye kufunga kweAI.

Mhedziso

Muchinyorwa chino, takaongorora maitiro ekugadzira AI-inotyairwa software kutumira uchishandisa DSPy uye LangChain. Takakurukura matambudziko ekuunza software muSDVs uye takaunza zvakakosha zveDSPy uye LangChain. Isu takapawo kodhi yekodhi inoratidza nzira yekubatanidza DSPy neLangChain, pamwe nekuonekwa kweiyo DSPy pombi. Nekusimudzira simba reAI uye otomatiki, tinogona kuwedzera scalability uye kuita mumotokari-yakatsanangurwa mota.

Gadzira pombi yeDSPy

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