Gudanar da Wakilan AI tare da LangChain: Gina Aikace-aikacen Hankali a cikin Python | B4N1

Gudanar da Wakilan AI tare da LangChain: Gina Aikace-aikacen Hankali a cikin Python

9 months ago · b4n1 Read time: 5 min

** Ma'aikatan AI tare da LangChain: Gina Aikace-aikacen Fasaha a Python**

** Gabatarwa ***

Haɗin kai na Artificial Intelligence (AI) da Koyon Injin (ML) cikin aikace-aikacen software ya canza hanyar da muke bi don magance matsala. Koyaya, yayin da rikitattun tsarin AI ke haɓaka, haka kuma buƙatar ingantaccen ƙungiyar kade-kade da gudanarwa. Wannan shine inda LangChain ya shigo cikin wasa - tsari mai ƙarfi don gina aikace-aikacen fasaha a Python. A cikin wannan labarin, za mu shiga cikin duniyar LangChain, bincika iyawarta, shari'o'in amfani da ainihin duniya, dabarun aiwatarwa, da mafi kyawun ayyuka don haɓaka haɓaka haɓakawa da ƙwarewar aikace-aikacen.

** Menene LangChain?**

LangChain shine tushen tushen tushen tushen Meta AI wanda ke ba da damar ƙirƙirar aikace-aikace masu hankali ta hanyar tsara wakilan AI. Yana ba da haɗin kai don haɗa nau'ikan AI iri-iri, tushen bayanai, da ayyuka, yana sauƙaƙa gina tsarin AI mai rikitarwa. LangChain yana goyan bayan harsunan shirye-shirye da yawa, gami da Python, Tsatsa, da Go, yana barin masu haɓakawa su zaɓi yaren da ya dace da bukatunsu.

** Maɓalli na LangChain ***

  1. ** Tsarin Gine-gine na Wakili ***: LangChain yana amfani da gine-gine na tushen wakili, inda kowane wakili yana wakiltar takamaiman samfurin AI ko sabis. Wannan yana ba da damar sauƙaƙe abun da ke ciki da ƙungiyar ma'aikata da yawa don ƙirƙirar tsarin AI mai rikitarwa.
  2. ** Haɗin Haɗin Kai ***: LangChain yana ba da haɗin kai don haɗa nau'ikan AI daban-daban, tushen bayanai, da ayyuka, yana sauƙaƙa gina tsarin AI mai rikitarwa.
  3. ** Tallafi don Harsuna da yawa ***: LangChain yana goyan bayan harsunan shirye-shirye da yawa, gami da Python, Rust, da Go, yana bawa masu haɓaka damar zaɓar yaren da ya dace da bukatunsu.
  4. ** Babban ɗakin karatu na Ma'aikatan da aka Gina ***: LangChain ya zo tare da ɗakin karatu mai yawa na wakilai da aka riga aka gina don nau'o'in AI da ayyuka daban-daban, yana sauƙaƙa farawa tare da gina aikace-aikace masu hankali.

** Abubuwan Amfani na Duniya na Gaskiya ***

  1. ** Chatbots ***: Za a iya amfani da LangChain don gina chatbots waɗanda ke haɗa nau'ikan AI da yawa, kamar fahimtar harshe, fahimtar niyya, da tsara amsawa.
  2. ** Tsarin Shawarwari ***: Ana iya amfani da LangChain don gina tsarin shawarwarin da ke haɗa nau'ikan AI da yawa, irin su tace haɗin gwiwa, tacewa na tushen abun ciki, da tacewa na tushen jadawali.
  3. ** Mataimakiyar Mahimmanci ***: Ana iya amfani da LangChain don gina mataimakan mataimaka waɗanda ke haɗa nau'ikan AI da yawa, kamar fahimtar magana, fahimtar harshe na halitta, da aiwatar da aiki.
  4. ** Ƙarfafa Ƙarfafawa ***: Ana iya amfani da LangChain don gina tsarin samar da abun ciki wanda ke haɗa nau'ikan AI da yawa, irin su tsara harshe, tsara hoto, da tsara bidiyo.

** Dabarun Aiwatarwa ***

  1. ** Fara da Sauƙaƙe Cajin Amfani ***: Fara ta hanyar gina aikace-aikacen AI mai sauƙi ta amfani da LangChain, kamar chatbot ko tsarin shawarwari.
  2. ** Zaɓi Wakilan Dama ***: Zaɓi wakilai masu dacewa don shari'ar amfani da ku, dangane da takamaiman ƙirar AI da sabis ɗin da ake buƙata.
  3. **Yi amfani da Ƙwararren Ƙwararren Ƙwararren Ƙwararren Ƙwararren Ƙwararren Ƙwararren Ƙwararren Ƙwararren Ƙwararren Ƙwararren Ƙwararren Ƙwararren Ƙwararren Ƙwararren Ƙwararren Ƙwararren Ƙwararren Ƙwararren Ƙwararren Ƙwararren Ƙwararren Ƙwararren Ƙwararren Ƙwararren Ƙwararren Ƙwararren Ƙwararren Ƙwararren Ƙwararren Ƙwararren Ƙwararren Ƙadda ) ya bayar don haɗawa da wakilai da yawa da gina tsarin AI mai rikitarwa.
  4. ** Gwaji da Iterate ***: Gwaji tare da wakilai daban-daban da daidaitawa don nemo mafi kyawun tsarin kula da yanayin amfani da ku.

Kyakkyawan Ayyuka

  1. ** Bi Takardun LangChain ***: Bi takardun LangChain don tabbatar da cewa kuna amfani da tsarin daidai da inganci.
  2. **Yi amfani da Ma'aikatan da aka riga aka gina ***: Yi amfani da abubuwan da aka riga aka gina ta LangChain don adana lokaci da ƙoƙari.
  3. ** Gwaji sosai ***: Gwada aikace-aikacen AI sosai don tabbatar da cewa yana aiki kamar yadda ake tsammani.
  4. ** Ci gaba da Kulawa da Ingantawa ***: Ci gaba da saka idanu akan aikace-aikacen AI ɗin ku kuma inganta shi bisa ga ra'ayin mai amfani da ma'aunin aiki.

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

Python

`` Python

shigo da langchain

Ƙirƙiri sabon wakilin LangChain

wakili = langchain.Agent( name="my_agent", description="Wakili na AI", harshe = "python", tsarin = "langchain" )

Ƙirƙiri sabon aikin LangChain

aiki = langchain.Task( name="my_aiki", bayanin = "Aiki na AI", input_data={"rubutu": "Sannu, duniya!"} )

Gudanar da aikin ta amfani da wakili

sakamako = wakili.run (aiki)

Buga sakamakon

buga(sakamako)


### Tsatsa

``tsatsa
// Shigo da ɗakin karatu na LangChain
yi amfani da langchain :: {Agent, Task};

// Ƙirƙiri sabon wakilin LangChain
bari wakili = Wakili :: sabo(
    "wakilina",
    "Wakilina AI",
    "tsatsa",
    "langchain"
);

// Ƙirƙiri sabon aikin LangChain
bari task = Aiki :: sabo(
    "aikina",
    "Aiki na AI",
    vec!["rubutu".to_string()],
    vec![String:: daga ("Hello, duniya!")]
);

// Gudanar da aikin ta amfani da wakili
bari sakamako = wakili.run (aiki);

// Buga sakamakon
println!("{}", sakamako);

Go

``tafi // Shigo da ɗakin karatu na LangChain babban kunshin

shigo da ( "fmt" "github.com/langchain/langchain-go" )

// Ƙirƙiri sabon wakilin LangChain Func main() { wakili: = langchain.NewAgent ( "wakilina", "Wakilina AI", "tafi", "langchain" )

// Ƙirƙiri sabon aikin LangChain
aiki: = langchain.NewTask(
    "aikina",
    "Aiki na AI",
    [] kirtani{"rubutu"},
    [] kirtani{"Sannu, duniya!"}
)

// Gudanar da aikin ta amfani da wakili
sakamako: = wakili.Run (aiki)

// Buga sakamakon
fmt.Println(sakamako)

}


**Kallon gani**


``` jadawalin
{
    irin: 'bar',
    data: {
        lakabi: ['Wakili 1', 'Wakili 2', 'Agent 3'],
        bayanai: [{
            tambari: 'Daidai',
            bayanai: [0.8, 0.9, 0.7],
            bango launi: [
                'rgba(255, 99, 132, 0.2)',
                'rgba(54, 162, 235, 0.2)',
                'rgba(255, 206, 86, 0.2)'
            ],
            iyakar launi: [
                'rgba(255, 99, 132, 1)',
                'rgba(54, 162, 235, 1)',
                'rgba(255, 206, 86, 1)'
            ],
            iyakar iyaka: 1
        }]
    },
    zabin: {
        sikeli: {
            yAxes: [{
                kaska: {
                    startAtZero: gaskiya
                }
            }]
        }
    }
}

Wannan ginshiƙi yana nuna daidaiton wakilan AI daban-daban guda uku a cikin takamaiman yanayin amfani.

Kammalawa

LangChain tsari ne mai ƙarfi don gina aikace-aikacen fasaha a Python. Gine-gine na tushen wakili, haɗin haɗin kai, da goyan bayan yaruka da yawa sun sa ya zama kyakkyawan zaɓi ga masu haɓakawa waɗanda ke neman ƙirƙirar tsarin AI mai rikitarwa. Ta bin mafi kyawun ayyuka da aka zayyana a cikin wannan labarin da kuma yin amfani da wakilai da aka riga aka gina da haɗin kai wanda LangChain ya samar, masu haɓakawa za su iya gina aikace-aikace masu hankali waɗanda suke da inganci, masu daidaitawa, da sauƙi don kiyayewa.

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