Gadzira muenzaniso weLangChain

Kuronga AI-Powered Software Development neLangChain uye DSPy

Introduction

Iko kukurumidza kufambira mberi kweArtificial Intelligence (AI) uye Machine Learning (ML) kwashandura mamiriro ekuvandudza software. Makuru Mutauro Models (LLMs) seLangChain uye DSPy akabuda sematurusi ane simba ekugadzira otomatiki akasiyana siyana ekugadzira software. Nekudaro, kubatanidza aya maturusi anofambiswa neAI neyechinyakare software engineering maitiro akanakisa anogona kuve akaoma. Muchikamu chino, tichaongorora nzira yakasanganiswa yekugadzirwa kwepurogiramu tichishandisa LangChain neDSPy, tichitarisa kubatanidzwa kweLLMs nemapurogiramu einjiniya maitiro akanakisa uye kushandiswa kwezvishandiso zvekuimba kuti zvigadzirise nzira yekuvandudza.

Chii chinonzi LangChain?

LangChain iraibhurari yakavhurika-sosi inobvumira vanogadzira kuvaka maAI-powered application vachishandisa Large Language Models (LLMs). Inopa iri nyore uye intuitive API yekudyidzana neLLMs, zvichiita kuti zvive nyore kuvabatanidza mukugadzira software workflows. LangChain inotsigira maLLM akasiyana, kusanganisira anozivikanwa seLLaMA neBERT.

Chii chinonzi DSPy?

DSPy iraibhurari yePython inopa nzira iri nyore uye inoshanda yekudyidzana neMakuru Mutauro Models (LLMs). Inobvumira vanogadzira kushandisa maLLM kumabasa senge kugadzirwa kwemavara, kurongedza, uye kubatanidza. DSPy yakagadzirirwa kuve yakanyanya scalable uye inogona kubata mavhoriyamu makuru e data.

**Hybrid Nzira yekuvandudza Software **

Iyo yakasanganiswa nzira yekuvandudza software inosanganisira kubatanidza maturusi anofambiswa neAI seLangChain neDSPy nemaitiro echinyakare software engineering. Iyi nzira inokwidziridza masimba epasirese, ichibvumira vanogadzira kuti vagadzirise mabasa anodzokororwa uye kutarisa padanho repamusoro dhizaini uye zvivakwa.

Benefits yeHybrid Approach

Iyo yakasanganiswa nzira yekuvandudza software inopa akati wandei mabhenefiti, anosanganisira:

**Kuwedzera kubereka **: Nekuita otomatiki kudzokorora mabasa, vagadziri vanogona kutarisa padanho repamusoro dhizaini uye zvivakwa, zvichitungamira mukuwedzera kubereka.
** Kuvandudzwa kwehutano **: Zvishandiso zvinotungamirirwa neAI zvakadai seLangChain neDSPy zvinogona kubatsira kuziva zvikanganiso uye kusagadzikana, kuvandudza hutano hwese software.
Kudyidzana kwakavandudzwa: Nzira yakasanganiswa inoita kuti vanogadzira vashande pamwe chete zvinobudirira, vachigovana ruzivo nehunyanzvi kugadzira software iri nani.

Kuronga AI-Powered Software Development

Kuronga AI-powered software kuvandudza kunosanganisira kushandisa maturusi akaita seLangChain neDSPy kugadzira otomatiki akasiyana maitirwo ebudiriro. Izvi zvinogona kusanganisira mabasa akadai:

** Kugadzira kodhi **: Kushandisa maLLM kugadzira kodhi yeakajairika mabasa, akadai sekugadzirisa data kana kubatanidzwa kweAPI.
** Kuongorora kwekodhi **: Kushandisa maturusi anofambiswa neAI kuongorora kodhi yezvikanganiso uye kusawirirana.
** Kuedza **: Kushandisa maLLM kugadzira bvunzo makesi uye otomatiki kuyedzwa.

Muenzaniso Unoshanda: Kushandisa LangChain Kugadzira Code

Heino muenzaniso wakapusa wekushandisa LangChain kugadzira kodhi:

import langchain


langchain_instance = langchain.LLMAgent(
    model_name="lambada",
    max_length=100,
    tembiricha=0.7,
)

# Tsanangura kukurumidza kwekugadzira kodhi
prompt = "Gadzira basa rePython kuverenga huwandu hwenhamba mbiri."

# Gadzira kodhi uchishandisa iyo LangChain muenzaniso
code = langchain_instance.generate(prompt)

dhinda(code)

Iyi kodhi inoshandisa raibhurari yeLangChain kugadzira muenzaniso weLLaMA modhi, inozoshandiswa kugadzira kodhi yebasa rakapfava rePython.

Pamusoro 5-10 Inonyanya Kushandiswa Mirairo/Zvidimbu

Heano mamwe emirairo anonyanya kushandiswa uye zvimedu zveLangChain uye DSPy:

LangChain

langchain.LLMAgent(model_name="lambada", max_length=100, tembiricha=0.7): Inogadzira muenzaniso weLLaMA modhi.
langchain_instance.generate(prompt): Inogadzira kodhi uchishandisa muenzaniso weLangChain. DSPy
dsp.DSPy(model_name="bert-base-uncased"): Inogadzira muenzaniso weBERT modhi.
dsp_instance.predict(text): Inofanotaura uchishandisa muenzaniso weDSPy.

Kuona

Heino ratidziro yakapusa yeiyo yakasanganiswa nzira yekuvandudza software uchishandisa Chart.js:

{
  "type": "bha",
  "data": {
    "labels": ["Code Generation", "Code Review", "Test"],
    "datasets": [
      {
        "label": "LangChain",
        "data": [10, 20, 30],
        "backgroundColor": "rgba(255, 99, 132, 0.2)",
        "borderColor": "rgba(255, 99, 132, 1)",
        "borderWidth": 1
      },
      {
        "label": "DSPy",
        "data": [20, 30, 40],
        "backgroundColor": "rgba(54, 162, 235, 0.2)",
        "borderColor": "rgba(54, 162, 235, 1)",
        "borderWidth": 1
      }
    ]
  },
  "sarudzo": {
    "zita": {
      "kuratidza": chokwadi,
      "text": "Hybrid Approach to Software Development"
    },
    "zvikero": {
      "yAxes": [
        {
          "zvikwekwe": {
            "beginAtZero": chokwadi
          }
        }
      ]
    }
  }
}

Iyi chati inoratidza kukosha kwehukama hwekugadzira kodhi, kudzokorora kodhi, uye kuyedza mune yakasanganiswa nzira yekuvandudza software.

Mhedziso

Iyo yakasanganiswa nzira yekuvandudza software uchishandisa LangChain neDSPy inopa nzira ine simba yekugadzira otomatiki akasiyana maitirwo ebudiriro. Nekubatanidza maturusi anofambiswa neAI neyechinyakare software engineering maitiro akanakisa, vagadziri vanogona kuwedzera kugadzirwa, kugadzirisa mhando, uye kuwedzera kubatana. Muenzaniso unoshanda uye gumi anonyanya kushandiswa mirairo / zvimedu zvakapihwa muchinyorwa chino zvinoratidza nyore kwekushandisa uye kuchinjika kweLangChain neDSPy.

Gadzira muenzaniso weLangChain

¿Tienes preguntas?