** Gudanar da Isar da Software na AI-Karfafa tare da DSPy da LangChain: Jagorar Fasaha don Bututun Isar da Software Mai sarrafa kansa ***

** Gabatarwa ***

Juyin da aka ayyana abin hawa (SDV) yana canza masana'antar kera motoci tare da alƙawarinsa na haɓaka aiki, rage farashi, da ingantaccen aiki. Koyaya, rikitaccen tsarin SDV yana buƙatar ingantacciyar hanya don isar da software, wacce ke ba da ƙarfin ikon basirar wucin gadi (AI) da sarrafa kansa. A cikin wannan labarin, za mu bincika yadda ake tsara isar da software ta AI ta hanyar amfani da DSPy da LangChain, fasahohi guda biyu masu yankewa waɗanda ke ba da damar haɗakar wakilai na AI, jadawali masu alaƙa (RAGs), da manyan samfuran harshe (LLMs) tare da kayan aikin sarrafa DevOps.

** Kalubalen Isar da Software a cikin SDVs ***

Motocin da aka ayyana software sun dogara da hadaddun tsarin sadarwa na tsarin haɗin gwiwa, gami da tuƙi mai sarrafa kansa, bayanai, da sarrafa abin hawa. Girman sikelin da sarƙaƙƙiyar waɗannan tsarin sun sa hanyoyin isar da software na gargajiya ba su isa ba. Kalubalen sun haɗa da:

** Scalability ***: Tsarin SDV yana buƙatar turawa da sauri da ƙima don biyan buƙatun mai amfani. ** Aiki ***: Dole ne isar da software ya tabbatar da ingantaccen aiki, aminci, da tsaro. ** Haɗin kai ***: Tsarin SDV ya ƙunshi masu ruwa da tsaki da yawa, fasahohi, da matakai, yana mai da wahalar sarrafawa da daidaita isar da software.

** Gabatar da DSPy da LangChain ***

DSPy da LangChain sabbin fasahohi ne guda biyu waɗanda ke magance ƙalubalen isar da software a cikin SDVs. DSPy shine tsarin tushen Python don ginawa da tura bututun isar da software na AI, yayin da LangChain babban ɗakin karatu ne na tushen tsatsa don ƙirƙira da sarrafa LLMs da RAGs.

** DSPy: Tsarin tushen Python don Isar da Software na AI-Driven ***

DSPy yana ba da cikakkun kayan aiki da ɗakunan karatu don ginawa da tura bututun isar da software da AI ke tukawa. Mabuɗin fasalinsa sun haɗa da:

** Orchestration na bututu ***: DSPy yana ba da damar ƙirƙira da sarrafa bututun isar da software mai rikitarwa, gami da ayyuka, ayyukan aiki, da dogaro.
** Haɗin AI ***: DSPy yana ba da haɗin kai mara kyau tare da mashahurin tsarin AI, kamar TensorFlow da PyTorch.
** DevOps aiki da kai ***: DSPy yana goyan bayan haɗin kai tare da shahararrun kayan aikin DevOps, kamar Jenkins da GitLab.

** LangChain: Laburaren Tushen Tsatsa don LLMs da RAGs ***

LangChain babban ɗakin karatu ne na tushen Rust don ƙirƙira da sarrafa LLMs da RAGs. Mabuɗin fasalinsa sun haɗa da:

** Haɗin LLM ***: LangChain yana ba da haɗin kai tare da shahararrun LLMs, kamar BERT da RoBERTa.
** Gudanar da RAG ***: LangChain yana ba da damar ƙirƙira da sarrafa RAGs, waɗanda ke ba da tsarin wakilcin jadawali na ilimi.
** Dalilin AI ***: LangChain yana goyan bayan tunanin AI da ra'ayi ta amfani da LLMs da RAGs.

** Haɗin DSPy da LangChain don Isar da Software da AI-Korkawa**

Don haɗa DSPy da LangChain, za mu iya amfani da toshe lambar mai zuwa a matsayin misali: `` Python shigo da dspy daga shigo da langchain LLM, RAG

bututu = dspy. suna = "ai-driven-software-bayar", ayyuka =[ dspy.Task("gina", "build-software"), dspy.Task("gwaji", "gwajin-software"), dspy.Task("aikewa", "deploy-software") ] )

Ƙirƙiri LLM da RAG

llm = LLM ("bert-base-uncased") rag = RAG ("bayar da software")

Haɗa LLM da RAG tare da bututun DSPy

pipeline.add_task(dspy.Task("ai-reasoning", "ai-reasoning",llm, rag))

Guda bututun

pipeline.run()

Wannan toshe lambar yana nuna yadda ake ƙirƙirar bututun DSPy, haɗa LLM da RAG ta amfani da LangChain, da gudanar da bututun ta amfani da DSPy.

** Manyan Dokoki 5-10 da Akafi Amfani da su/Snippets**

Anan akwai manyan 5-10 da aka fi amfani da umarni/snippets don DSPy da LangChain:

*** DSPy**
	+ `dspy.Pipeline()`: Ƙirƙiri sabon bututun DSPy.
	+ `dspy.Task()`: Ƙirƙiri sabon ɗawainiya a cikin bututun mai.
	+ `bututun.add_task()`: Ƙara ɗawainiya zuwa bututun.
	+ `pipeline.run()`: Guda bututun.
**LangChain**
	+ `LLM()`: Ƙirƙiri sabon LLM.
	+ `RAG()`: Ƙirƙiri sabon RAG.
	+ `llm.train()`: Horar da LLM.
	+ `rag.build()`: Gina RAG.

**Kallon gani**

Anan ga hangen nesa na bututun DSPy ta amfani da Chart.js:
Json
{
  "type": "bar",
  "data": {
    "labels": ["Gina", "Gwaji", "Tsarin", "Maganin AI"],
    "datasets": [
      {
        "label": "Ayyukan Bututu",
        "bayanai": [10, 20, 30, 40],
        "Bayan launi": ["#4CAF50", "#FF9800", "#2196F3", "#8BC34A"]
      }
    ]
  },
  "zaɓi": {
    "take": {
      "nuna": gaskiya,
      "text": "Ayyukan bututun DSPy"
    },
    "ma'auni": {
      "yAxes": [
        {
          "zama": {
            "beginAtZero": gaskiya
          }
        }
      ]
    }
  }
}

Wannan hangen nesa yana nuna ayyukan bututun, gami da ginawa, gwaji, turawa, da tunanin AI.

Kammala

A cikin wannan labarin, mun bincika yadda ake tsara isar da software ta AI ta amfani da DSPy da LangChain. Mun tattauna ƙalubalen isar da software a cikin SDVs kuma mun gabatar da mahimman abubuwan DSPy da LangChain. Mun kuma ba da toshe lambar da ke nuna yadda ake haɗa DSPy da LangChain, da kuma hangen nesa na bututun DSPy. Ta hanyar yin amfani da ikon AI da aiki da kai, za mu iya haɓaka haɓakawa da aiki a cikin ƙayyadaddun motocin software.

Ƙirƙiri bututun DSPy

Ƙirƙiri LLM da RAG

Haɗa LLM da RAG tare da bututun DSPy

Guda bututun

Have Questions?