Fausiaina o Sui Usufono ma le LangChain: Fa'atulagaina LLMs mo Talosaga Moni i le Lalolagi | B4N1

Fausiaina o Sui Usufono ma le LangChain: Fa'atulagaina LLMs mo Talosaga Moni i le Lalolagi

8 months ago · b4n1 Tiempo de lectura: 6 min

** Fausiaina o Sui Usufono ma le LangChain: Fa'atulagaina LLM mo Talosaga Moni i le Lalolagi**

Fa'atomuaga

O le o'o mai o Large Language Models (LLMs) ua suia ai le fanua o le Natural Language Processing (NLP) ma ua tatalaina ai ni auala fou mo le atina'eina o sui atamamai e mafai ona malamalama, fa'atupuina, ma fegalegaleai ma le gagana a le tagata. LangChain o se faletusi Python lea e tuʻuina atu ai se faʻaoga fetuutuunai ma faʻalauteleina mo le fausiaina o sui atamamai e faʻaogaina LLMs. I totonu o lenei tusiga, o le a tatou suʻesuʻeina le tuʻufaʻatasia o LangChain mo le atinaʻeina o sui atamamai, faʻatatau i taʻiala faʻatinoga faʻatinoga, faʻataʻitaʻiga auala, ma faʻaoga mataupu i le inisinia polokalama.

O ā mea e fai ma Sui Usufono?

O sui atamai o polokalama faakomepiuta e mafai ona iloa ai lo latou siosiomaga, fa'atatau i fa'amatalaga latou te maua, ma faia ni gaioiga e ausia ai a latou sini. E mafai ona manatu i latou o ni tagata fai filifiliga tutoʻatasi e mafai ona fegalegaleai ma tagata faʻaoga, isi sui, poʻo faiga e ausia ai se faʻamoemoega patino. O sui atamai e mafai ona faʻavasegaina i ituaiga eseese, e aofia ai:

  • Sui fa'avae tulafono: O lo'o fa'aogaina e nei sui tulafono tulafono fa'amamafa e fai ai fa'ai'uga.
  • Masini a'oa'oina sui: O nei sui e fa'aogaina masini e a'oa'oina ai algorithms e a'oa'o ai mai fa'amaumauga ma fai fa'ai'uga.
  • Sogi fa'atosina: O lo'o tu'ufa'atasia e nei sui ta'iala ma auala e a'oa'o ai masini e fai ai fa'ai'uga.

O le a le LangChain?

LangChain o se faletusi Python lea e tuʻuina atu ai se faʻaoga fetuutuunai ma faʻalauteleina mo le fausiaina o sui atamamai e faʻaogaina LLMs. E mafai ai e tagata atiaʻe ona fatuina, toleni, ma faʻapipiʻi LLMs, faʻapea foʻi ma faʻapipiʻi faʻatasi ma isi faʻataʻitaʻiga AI ma faiga. LangChain e maua ai le tele o foliga, e aofia ai:

  • LLM integration: LangChain e maua ai se auala faigofie ma lelei e tuʻufaʻatasia ai LLM ma isi faʻataʻitaʻiga AI ma faiga.
  • Orchestration: LangChain e maua ai le tele o auala faʻapipiʻi, e aofia ai le puleaina o galuega, pulega o galuega, ma le puleaina o faʻamaumauga.
  • Scalability: LangChain ua mamanuina e fua i faamaumauga tetele ma galuega faigata.

Ta'iala Fa'atino Fa'atino

Ina ia fausia ni sui atamai ma LangChain, e tatau ona e mulimulitaʻia nei taʻiala faʻatinoga:

  1. Filifili se LLM: Filifili se LLM e fetaui ma ou mana'oga, e pei o le gagana, tele, ma le lavelave.
  2. Sauni fa'amaumauga: Saunia se fa'amaumauga e fetaui ma lau fa'aoga ma talafeagai mo le a'oa'oina o le LLM.
  3. A'oa'o le LLM: A'oa'o le LLM i le fa'aogaina o fa'amaumauga saunia ma le LangChain's training API.
  4. ** Faʻatasi ma isi faʻataʻitaʻiga AI **: Faʻatasi le LLM aʻoaʻoina ma isi faʻataʻitaʻiga AI ma faiga e faʻaaoga ai le LangChain's integration API.
  5. Orchestration tasks: Fa'aoga le LangChain's orchestration API e pulea ai galuega, fa'asologa o galuega, ma fa'amaumauga.

Tekinolosi Tu'ufa'atasi

LangChain o loʻo tuʻuina atu le tele o auala faʻapipiʻi e mafai ona faʻaaogaina e pulea ai galuega, faʻasologa o galuega, ma faʻamaumauga. O nisi o metotia autu o faʻasalalauga e aofia ai:

  • Faʻatonuga o galuega: LangChain e tuʻuina atu se API faʻatonuga e mafai ai e tagata atiaʻe ona fatuina, pulea, ma faʻatino galuega.
  • **Faʻatonuga o galuega **: LangChain e tuʻuina atu se API faʻafoega o galuega e mafai ai e tagata atiaʻe ona fatuina, pulea, ma faʻatino galuega.
  • Faʻamatalaga Faʻamatalaga: LangChain e tuʻuina atu se API faʻamaumauga e mafai ai e le au atinaʻe ona pulea ma faʻaogaina faʻamatalaga.

Fa'aoga mataupu ile Software Engineering

LangChain e mafai ona faʻaaogaina i le tele o mataupu faʻainisinia polokalama faʻaoga, e aofia ai:

  • Chatbots: LangChain e mafai ona fa'aogaina e fausia ai talatalanoaga e mafai ona malamalama, fa'atupu, ma fegalegaleai ma le gagana a le tagata.
  • Virtual fesoasoani: LangChain e mafai ona faʻaogaina e fausia ai fesoasoani faʻapitoa e mafai ona faia galuega, tali fesili, ma tuʻuina atu faʻamatalaga.
  • ** Faʻatupuina o mea **: LangChain e mafai ona faʻaogaina e faʻatupu ai mea, e pei o tala, faʻasalalauga blog, ma faʻasalalauga lautele.

Poloaiga/Snippets pito i luga 5-10 Fa'aaogaina

O le pito i luga 5-10 pito sili ona faʻaaogaina poloaiga / snippets mo LangChain:

  1. Auina mai LangChain: langchain faaulufale mai
  2. Fausia se LLM: llm = langchain.LLM("my_llm")
  3. Toleniina se LLM: llm.train(data)
  4. Fa'atasi ma isi fa'ata'ita'iga AI: ai_model = langchain.AIModel("my_ai_model")
  5. O le fa'atulagaina o galuega: task = langchain.Task("my_task")
  6. ** Puleaina o galuega fai**: workflow = langchain.Workflow("my_workflow")
  7. ** Puleaina faʻamaumauga **: faʻamatalaga = langchain.Data("my_data")
  8. Fausia se chatbot: chatbot = langchain.Chatbot("my_chatbot")
  9. Fausia o se fesoasoani virtual: virtual_assistant = langchain.VirtualAssistant("my_virtual_assistant")
  10. ** Fa'atupuina o anotusi**: content = langchain.ContentGenerator("my_content_generator")

Va'aiga

Ole fa'aaliga lea ole fausaga ole LangChain ile fa'aogaina ole Chart.js:

{
  "type": "pa",
  "fa'amatalaga": {
    "labels": ["LLM", "Orchestration", "Integration", "Task Management", "Workflow Management", "Data Management"],
    "fa'amaumauga": [
      {
        "label": "LangChain Architecture",
        "fa'amaumauga": [10, 8, 6, 4, 2, 1],
        "lanu tua": ["#4CAF50", "#FF9800", "#2196F3", "#8BC34A", "#03A9F4", "#FFC107"]
      }
    ]
  },
  "filifiliga": {
    "igoa": {
      "fa'aaliga": moni,
      "text": "LangChain Architecture"
    },
    "talatu'u": {
      "faʻaalia": moni
    }
  }
}

O lenei faʻaaliga faʻaalia o loʻo faʻaalia ai vaega eseese o le fausaga o le LangChain, e aofia ai LLM, faʻasalalauga, tuʻufaʻatasia, faʻatonuga o galuega, pulega o galuega, ma faʻamaumauga faʻamaumauga.

Fa'ai'uga

LangChain o se faletusi mamana lea e maua ai se faʻatulagaga fetuutuunai ma faʻalauteleina mo le fausiaina o sui atamamai e faʻaogaina LLMs. E ala i le mulimulita'i i ta'iala fa'atinoga fa'atino ma faiga fa'aputuga o lo'o fa'amatala atu i lenei tusiga, e mafai ai e tagata atia'e ona fausia ni sui popoto e mafai ona malamalama, fa'atupuina, ma fegalegaleai ma le gagana a tagata. O faʻaoga faʻaoga i masini komepiuta e faʻaalia ai le gafatia o LangChain i le tele o talosaga, mai chatbots ma fesoasoani faʻapitoa i le gaosiga o mea ma sili atu. Faatasi ai ma LangChain, e mafai e le au atinaʻe ona fatuina ni sui atamai e mafai ona faia ni galuega faigata ma tuʻuina atu le taua i tagata faʻaoga.

Pila Fa'ailoga

O se poloka faʻailoga faigofie lea e faʻaalia ai pe faʻapefea ona fatuina se chatbot e faʻaaoga ai LangChain:

faaulufale mai le langchain


llm = langchain.LLM("my_llm")

# Fausia se chatbot
chatbot = langchain.Chatbot(llm)

# Fa'amatala se galuega
galuega = langchain.Task("my_task")

# Faʻatino le galuega
taunuuga = chatbot.execute(galuega)

# Lolomi le iuga
lolomi(i'uga)

O lenei poloka code e fatuina ai se LLM, se chatbot, ma se galuega, ona faʻatino lea o le galuega e faʻaaoga ai le chatbot. O le taunuuga o loʻo lolomi i le faʻamafanafanaga.

Ele ma Alu Code

E tuʻuina atu foʻi e LangChain faʻamauga Rust ma Go, lea e mafai ona faʻaaogaina e fausia ai ni sui atamai i nei gagana. O se faʻataʻitaʻiga lea o se poloka faigofie Rust code o loʻo faʻaalia pe faʻafefea ona fatuina se chatbot e faʻaaoga ai LangChain:

fa'aoga langchain::{LLM, Chatbot};

fn autu() {
    // Fausia se LLM
    let llm = LLM::new("my_llm");

    // Fausia se chatbot
    let chatbot = Chatbot::new(llm);

    // Fa'amatala se galuega
    let task = Galuega::new("my_task");

    // Fa'atino le galuega
    tu'u i'uga = chatbot.execute(task);

    // Lolomi le iuga
    println!("{}", i'uga);
}

Ma o se faʻataʻitaʻiga lea o se poloka Go code faigofie e faʻaalia ai le auala e fai ai se chatbot e faʻaaoga ai LangChain:

afifi autu

faaulufale mai (
	"fmt"
	"github.com/langchain/langchain-go"
)

galuega autu() {
	// Fausia se LLM
	llm : = langchain.NewLLM("my_llm")

	// Fausia se chatbot
	chatbot : = langchain.NewChatbot(llm)

	// Fa'amatala se galuega
	galuega : = langchain.NewTask("my_task")

	// Fa'atino le galuega
	i'uga := chatbot.Fa'atino(galuega)

	// Lolomi le iuga
	fmt.Println(i'uga)
}

O nei poloka tulafono faʻaalia pe faʻapefea ona fatuina se chatbot e faʻaaoga ai LangChain i Rust ma Alu.


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