Kuronga AI-Driven Software Systems neLangChain uye DSPy: Yakadzika Dive muScalable Architecture uye otomatiki. | B4N1

Kuronga AI-Driven Software Systems neLangChain uye DSPy: Yakadzika Dive muScalable Architecture uye otomatiki.

5 months ago · b4n1 Read time: 4 min

Nhanganyaya

Mumazuva ano anomhanya-mhanya edhijitari, masisitimu esoftware ari kuramba achiwedzera kuoma, paine kudiwa kuri kukura kweanoshanda otomatiki uye orchestration. Kubatanidzwa kweArtificial Intelligence (AI) neMuchina Kudzidza (ML) kwashandura magadzirirwo atinoita nekushandisa masoftware masisitimu. Nekudaro, sezvo masisitimu aya achikura muhukuru uye kuoma, kuabata rinova basa rakaoma.

Apa ndipo panopinda LangChain neDSPy. LangChain iraibhurari yePython inogonesa kugadzirwa kweAI-inofambiswa nesoftware masisitimu, nepo DSPy iri Rust-based framework yekuvaka scalable uye autonomous software architectures. Muchikamu chino, tichaongorora nyika yeLangChain neDSPy, tichiongorora kuti tingagadzira sei uye tingashandisa sei scalable uye autonomous software architecture tichishandisa maAI agents, LangChain, uye DSPy kuti ibudirire automation uye orchestration mumapurogiramu makuru-software.

Chii chinonzi LangChain?

LangChain iraibhurari yePython inopa seti yezvishandiso uye maAPIs ekuvaka AI-inotyairwa software masisitimu. Inogonesa vanogadzira kugadzira yakaoma AI workflows, kubatanidza akawanda maAI modhi, uye otomatiki mabasa vachishandisa iri nyore uye intuitive API. LangChain inotsigira huwandu hwakasiyana hwemhando dzeAI, kusanganisira mitauro yechisikigo kugadzirisa (NLP), kuona komputa, uye kusimbisa kudzidza.

Zvimwe zvezvakakosha zveLangChain zvinosanganisira:

  • ** AI Workflow Management **: LangChain inopa iri nyore uye intuitive API yekugadzira yakaoma AI workflows, ichigonesa vanogadzira kubatanidza akawanda maAI modhi uye otomatiki mabasa.
  • ** Kubatanidzwa Kwemuenzaniso **: LangChain inotsigira huwandu hwakawanda hwemhando dzeAI, kusanganisira NLP, kuona komputa, uye kusimbisa kudzidza.
  • ** otomatiki **: LangChain inogonesa vanogadzira kuti vaite otomatiki mabasa vachishandisa AI modhi, kuderedza kudiwa kwekupindira kwemaoko.

Chii chinonzi DSPy?

DSPy iRust-based framework yekuvaka scalable uye autonomous software architectures. Inopa seti yezvishandiso uye APIs yekugadzira yakaoma software masisitimu, kusanganisira AI-inofambiswa masisitimu. DSPy yakagadzirirwa kubata mahombe-software masisitimu, ichipa zvinhu zvakaita se:

  • Scalability: DSPy yakagadzirirwa kubata mahombe-software masisitimu, ichipa maficha akadai seyakatwasuka scaling uye mutoro wekuenzanisa.
  • ** Kuzvimirira **: DSPy inogonesa vanogadzira kugadzira inozvimiririra software masisitimu, kuderedza kudiwa kwekupindira kwemanyorero.
  • ** Kubatanidzwa kweAI **: DSPy inopa seti yeAPIs yekubatanidza AI modhi, ichigonesa vanogadzira kugadzira AI-inotyairwa software masisitimu.

Kugadzira Scalable uye Autonomous Software Architecture neLangChain uye DSPy

Kugadzira scalable uye kuzvimiririra software architecture uchishandisa LangChain uye DSPy, tinoda kutevera nhanho-nhanho nzira. Heino mhedziso yepamusoro-soro yemaitiro acho:

  1. ** Tsanangura Zvinodiwa **: Ziva zvinodiwa nehurongwa hwepurogiramu, kusanganisira mabasa anofanirwa kuve otomatiki uye mhando dzeAI dzinoda kubatanidzwa.
  2. **Sarudza AI Models **: Sarudza maAI mamodheru achashandiswa muhurongwa hwepurogiramu, uchifunga nezvezvinhu zvakadai sekururama, scalability, uye kuchengetedza.
  3. ** Gadzirai AI Workflow **: Gadzirai AI workflow uchishandisa LangChain, kubatanidza maitiro akawanda eAI uye automating mabasa sezvinodiwa.
  4. ** Shandisa iyo AI Workflow **: Shandisa AI workflow uchishandisa LangChain, uchishandisa yakasarudzwa AI mienzaniso uye APIs.
  5. ** Batanidza DSPy **: Batanidza DSPy muhurongwa hwepurogiramu, kupa zvinhu zvakadai se scalability uye kuzvimiririra.
  6. ** Kuedza uye Kushandisa **: Edza uye shandisa purogiramu yepurogiramu, iva nechokwadi chokuti inosangana nezvinodiwa uye inoparadza uye inozvimiririra.

Muenzaniso Kodhi: Kuita AI Workflow neLangChain

Heino muenzaniso kodhi block inoratidza maitiro ekushandisa AI workflow uchishandisa LangChain:

import langchain
kubva langchain.chains import LLMChain

# Tsanangura iyo AI modhi
nlp_model = langchain.load_model("nlp_model")
cv_model = langchain.load_model("cv_model")

# Tsanangura mafambiro eAI
workflow = LLMChain(
    input_model=nlp_model,
    output_model=cv_model,
    prompt="Ongorora zvinyorwa uye gadzira pfupiso"
)

# Mhanya iyo AI workflow
result = workflow.run("Ichi chinyorwa chemuenzaniso")

# Dhinda mhedzisiro
dhinda(mhedzisiro)

Iyi kodhi yekodhi inoratidza matsananguriro ekufambisa kweAI uchishandisa LangChain, kubatanidza akawanda maAI modhi uye otomatiki mabasa sezvinodiwa.

Yepamusoro 5-10 Yakanyanya Kushandiswa Mirairo / Zvimedu

Heano epamusoro 5-10 anonyanya kushandiswa mirairo/zvimedu zveLangChain uye DSPy:

  1. langchain.load_model(): Inotakura muenzaniso weAI uchishandisa LangChain.
nlp_model = langchain.load_model("nlp_model")
  1. LLMChain (): Inotsanangura AI workflow uchishandisa LangChain.
workflow = LLMChain(
    input_model=nlp_model,
    output_model=cv_model,
    prompt="Ongorora zvinyorwa uye gadzira pfupiso"
)
  1. workflow.run(): Inomhanyisa AI workflow uchishandisa LangChain.
result = workflow.run("Ichi chinyorwa chemuenzaniso")
  1. dspy.init(): Inotanga DSPy.
dspy.init()
  1. dspy.create_agent(): Inogadzira mumiririri weAI uchishandisa DSPy.
mumiririri = dspy.create_agent("nlp_model")
  1. dspy.create_workflow(): Inotsanangura kufamba kweAI uchishandisa DSPy.
workflow = dspy.create_workflow(
    input_model=nlp_model,
    output_model=cv_model,
    prompt="Ongorora zvinyorwa uye gadzira pfupiso"
)
  1. dspy.run_workflow(): Inomhanyisa AI workflow uchishandisa DSPy.
mhedzisiro = dspy.run_workflow(workflow, "Ichi chinyorwa chemuenzaniso")
  1. langchain.chain (): Inotsanangura ketani yemhando dzeAI uchishandisa LangChain.
cheni = langchain.chain(
    nlp_model,
    cv_model,
    prompt="Ongorora zvinyorwa uye gadzira pfupiso"
)
  1. langchain.run_chain(): Inomhanyisa ketani yemhando dzeAI uchishandisa LangChain.
result = langchain.run_chain(chain, "This is a sample text")
  1. dspy.create_cluster(): Inogadzira boka revashandi veAI vachishandisa DSPy.
cluster = dspy.create_cluster("nlp_model")

Kuona

Heino ratidziro yeAI workflow uchishandisa Chart.js:

{
  "type": "bha",
  "data": {
    "labels": ["NLP Model", "CV Model", "AI Workflow"],
    "datasets": [
      {
        "label": "Kururamisa kwemuenzaniso",
        "data": [0.9, 0.8, 0.95],
        "backgroundColor": ["#FF6384", "#36A2EB", "#FFCE56"]
      }
    ]
  },
  "sarudzo": {
    "zita": {
      "kuratidza": chokwadi,
      "zvinyorwa": "AI Workflow Accuracy"
    },
    "zvikero": {
      "yAxes": [
        {
          "zvikwekwe": {
            "beginAtZero": chokwadi
          }
        }
      ]
    }
  }
}

Uku kuoneswa kunoratidza huchokwadi hweiyo NLP modhi, CV modhi, uye AI mafambiro.

Mhedziso

Muchikamu chino, takaongorora nyika yeLangChain neDSPy, maturusi maviri ane simba ekuvaka scalable uye autonomous software architectures vachishandisa AI agents. Isu takagadzira uye takaita scalable uye inozvimiririra software architecture tichishandisa LangChain uye DSPy, tichiratidza nzira yekubatanidza akawanda maAI modhi uye otomatiki mabasa uchishandisa iri nyore uye intuitive API. Isu takapawo seti yepamusoro 5-10 yakanyanya kushandiswa mirairo / snippets yeLangChain neDSPy, pamwe nekuonekwa kweAI workflow uchishandisa Chart.js. NeLangChain uye DSPy, vagadziri vanogona kugadzira inoshanda uye inokatyamadza AI-inofambiswa nesoftware masisitimu inosangana nezvinodiwa zvehukuru-hukuru software masisitimu.

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