Ho Aha Baemeli ba Bohlale ka LangChain: Ho Hlophisa LLM bakeng sa Likopo tsa 'Nete tsa Lefatše | B4N1

Ho Aha Baemeli ba Bohlale ka LangChain: Ho Hlophisa LLM bakeng sa Likopo tsa 'Nete tsa Lefatše

8 months ago · b4n1 Read time: 6 min

Ho Aha Baemeli ba Bohlale ka LangChain: Ho Hlophisa LLM bakeng sa Likopo tsa 'Nete tsa Lefatše

Selelekela

Ho fihla ha Mehlala e Meholo ea Lipuo (LLMs) ho fetotse tšebetso ea Natural Language Processing (NLP) ’me ho butse mekhoa e mecha bakeng sa ho hlahisa mahlahana a bohlale a ka utloisisang, a hlahisa le ho sebelisana le puo ea batho. LangChain ke laebrari ea Python e fanang ka moralo o feto-fetohang le o ka senyehang bakeng sa ho haha ​​​​mahlahana a bohlale a sebelisang LLMs. Sehloohong sena, re tla hlahloba ho kopanngoa ha LangChain bakeng sa ho nts'etsapele mahlahana a bohlale, ho lebisa tlhokomelo maqheka a sebetsang a ts'ebetsong, mekhoa ea 'mino oa' mino, le linyeoe tsa tšebeliso ea boenjiniere ba software.

Mahlahana a Bohlale ke eng?

Baemeli ba bohlale ke mananeo a k'homphieutha a khonang ho bona tikoloho ea bona, ho beha mabaka ka boitsebiso boo ba bo fumanang, le ho nka khato ho finyella lipakane tsa bona. Ba ka nkoa e le baetsi ba liqeto ba ikemetseng ba ka sebelisanang le basebelisi, baemeli ba bang, kapa litsamaiso ho fihlela sepheo se itseng. Mahlahana a bohlale a ka aroloa ka mefuta e fapaneng, ho kenyelletsa:

  • Baemeli ba thehiloeng ho melao: Mahlahana ana a sebelisa melao e boletsoeng esale pele ho etsa liqeto.
  • Basebelisi ba ho ithuta ka mochini: Baemeli bana ba sebelisa mekhoa ea ho ithuta ka mochini ho ithuta ho data le ho etsa liqeto.
  • Baemeli ba Hybrid: Mahlahana ana a kopanya mekhoa e thehiloeng melaong le ea ho ithuta ka mochini ho etsa liqeto.

LangChain ke eng?

LangChain ke laebrari ea Python e fanang ka moralo o feto-fetohang le o ka senyehang bakeng sa ho haha ​​mahlahana a bohlale a sebelisang LLMs. E lumella bahlahisi ho theha, ho koetlisa, le ho tsamaisa LLM, hammoho le ho li kopanya le mefuta le litsamaiso tse ling tsa AI. LangChain e fana ka mefuta e mengata ea likarolo, ho kenyelletsa:

  • ** Ho kopanngoa ha LLM **: LangChain e fana ka mokhoa o bonolo le o sebetsang oa ho kopanya LLM le mefuta le mekhoa e meng ea AI.
  • **Orchestration **: LangChain e fana ka mefuta e mengata ea mekhoa ea 'mino oa liletsa, ho kenyelletsa le tsamaiso ea mosebetsi, tsamaiso ea mosebetsi, le tsamaiso ea data.
  • Scalability: LangChain e etselitsoe ho lekana le li-dataset tse kholo le li-workflows tse rarahaneng.

Maano a Sebetsang a Phethahatso

Ho aha mahlahana a bohlale ka LangChain, o hloka ho latela maano ana a sebetsang a ts'ebetsong:

  1. Kgetha LLM: Kgetha LLM e kgotsofatsang ditlhoko tsa hao, tse kang puo, boholo, le ho rarahana.
  2. Lokisetsa data: Lokisetsa pokello ea boitsebiso e amanang le boemo ba hao ba tšebeliso le e loketseng bakeng sa ho koetlisa LLM.
  3. Koetlisa LLM: Koetlisa LLM ho sebelisa dataset e lokisitsoeng le API ea koetliso ea LangChain.
  4. ** Ikopanye le mefuta e meng ea AI **: Kopanya LLM e koetlisitsoeng le mefuta e meng ea AI le mekhoa e sebelisang API ea ho kopanya ea LangChain.
  5. **Mesebetsi ea lihlopha **: Sebelisa LangChain's orchestration API ho laola mesebetsi, mosebetsi oa ho sebetsa le data.

Mekhoa ea ho bina

LangChain e fana ka mefuta e mengata ea mekhoa ea 'mino e ka sebelisoang ho laola mesebetsi, phallo ea mosebetsi le data. Tse ling tsa mekhoa ea bohlokoa ea orchestration li kenyelletsa:

  • Taolo ea mosebetsi: LangChain e fana ka API ea taolo ea mesebetsi e lumellang bahlahisi ho theha, ho laola le ho etsa mesebetsi.
  • Taolo ea phallo ea mosebetsi: LangChain e fana ka API ea taolo ea phallo ea mosebetsi e lumellang batho ba ntlafatsang ho theha, ho laola le ho etsa tšebetso ea tšebetso.
  • Taolo ea data: LangChain e fana ka API ea taolo ea data e lumellang baetsi ho laola le ho laola data.

Sebelisa Maemo ho Boenjiniere ba Software

LangChain e ka sebelisoa maemong a fapaneng a ts'ebeliso ea boenjiniere ba software, ho kenyelletsa:

  • Chatbots: LangChain e ka sebelisoa ho theha li-chatbots tse khonang ho utloisisa, ho hlahisa le ho sebelisana le puo ea batho.
  • **Bathusi ba Virtual **: LangChain e ka sebelisoa ho haha ​​​​bathusi ba ka khonang ho etsa mesebetsi, ho araba lipotso, le ho fana ka tlhahisoleseding.
  • **Tlhahiso ea litaba **: LangChain e ka sebelisoa ho hlahisa litaba, tse kang lihlooho, li-blog posts, le melaetsa ea litaba tsa sechaba.

Kaholimo ho 5-10 Litaelo/Lipotlana tse Sebelisitsoeng ka ho Fetisisa

Mona ke tse 5-10 tse sebelisoang ka ho fetesisa litaelo/likotoana tsa LangChain:

  1. Ho kenya LangChain: import langchain
  2. Ho theha LLM: llm = langchain.LLM("my_llm")
  3. Ho koetlisa LLM: llm.train(data)
  4. Ho kopanya le mefuta e meng ya AI: ai_model = langchain.AIModel("my_ai_model")
  5. Mesebetsi ea ho hlophisa: task = langchain.Task("my_task")
  6. Ho laola metsamao ya mosebetsi: motsamao wa mosebetsi = langchain.Motsamao wa mosebetsi("my_workflow")
  7. Ho laola data: data = langchain.Data("my_data")
  8. Ho theha chatbot: chatbot = langchain.Chatbot("my_chatbot")
  9. Ho etsa mothusi wa sebele: virtual_assistant = langchain.VirtualAssistant("my_virtual_assistant")
  10. Ho hlahisa dikahare: dikahare = langchain.ContentGenerator("my_content_generator")

Pono ya pono

Mona ke pono ea meralo ea LangChain e sebelisang Chart.js:

{
  "type": "bar",
  "data": {
    "labels": ["LLM", "Orchestration", "Integration", "Task Management", "Workflow Management", "Data Management"],
    "lintlha tsa boitsebiso": [
      {
        "label": "LangChain Architecture",
        "data": [10, 8, 6, 4, 2, 1],
        "backgroundColor": ["#4CAF50", "#FF9800", "#2196F3", "#8BC34A", "#03A9F4", "#FFC107"]
      }
    ]
  },
  "likgetho": {
    "sehlooho": {
      "bontša": 'nete,
      "text": "LangChain Architecture"
    },
    "tšōmo": {
      "pontšo": 'nete
    }
  }
}

Pontšo ena e bonts'a likarolo tse fapaneng tsa meralo ea LangChain, ho kenyeletsoa LLMs, orchestration, kopanyo, taolo ea mosebetsi, taolo ea phallo ea mosebetsi, le taolo ea data.

Qetello

LangChain ke laebrari e matla e fanang ka moralo o feto-fetohang le o ka senyehang bakeng sa ho aha mahlahana a bohlale a sebelisang LLMs. Ka ho latela maano a ts'ebetsong a ts'ebetsong le mekhoa ea 'mino e hlalositsoeng sehloohong sena, bahlahisi ba ka haha ​​​​mahlahana a bohlale a ka utloisisang, a hlahisa le ho sebelisana le puo ea batho. Linyeoe tsa ts'ebeliso ea boenjiniere ba software li bonts'a bokhoni ba LangChain lits'ebetsong tse fapaneng, ho tloha ho li-chatbots le bathusi ba sebele ho isa molokong oa litaba le tse ling. Ka LangChain, bahlahisi ba ka etsa mahlahana a bohlale a ka etsang mesebetsi e rarahaneng le ho fana ka boleng ho basebelisi.

Code Block

Mona ke khoutu e bonolo e bonts'ang mokhoa oa ho theha chatbot u sebelisa LangChain:

import langchain


llm = langchain.LLM("my_llm")

# Theha chatbot
chatbot = langchain.Chatbot(llm)

# Hlalosa mosebetsi
mosebetsi = langchain.Task("my_task")

# Phetha mosebetsi
sephetho = chatbot.execute(mosebetsi)

# Hatisa sephetho
hatisa(sephetho)

Sebaka sena sa khoutu se theha LLM, chatbot, le mosebetsi, ebe se phethahatsa mosebetsi ka chatbot. Sephetho se hatisoa ho console.

Rust and Go Code

LangChain e boetse e fana ka li-bindings tsa Rust and Go, tse ka sebelisoang ho haha ​​mahlahana a bohlale ka lipuo tsena. Mona ke mohlala oa "Rust code block" e bonolo e bonts'ang mokhoa oa ho theha chatbot u sebelisa LangChain:

sebelisa langchain::{LLM, Chatbot};

fn main() {
    // Theha LLM
    let llm = LLM::ncha("my_llm");

    // Theha chatbot
    let chatbot = Chatbot::ncha(llm);

    // Hlalosa mosebetsi
    tlohela mosebetsi = Mosebetsi :: o mocha ("my_task");

    // Phetha mosebetsi
    tlohela sephetho = chatbot.execute(mosebetsi);

    // Hatisa sephetho
    println!("{}", sephetho);
}

Mona ke mohlala oa sebaka se bonolo sa Go code block se bonts'ang mokhoa oa ho theha chatbot u sebelisa LangChain:

sephutheloana se seholo

kenya (
	"fmt"
	"github.com/langchain/langchain-go"
)

func main() {
	// Theha LLM
	llm :=langchain.NewLLM("my_llm")

	// Theha chatbot
	chatbot := langchain.NewChatbot(llm)

	// Hlalosa mosebetsi
	mosebetsi := langchain.NewTask("my_task")

	// Phetha mosebetsi
	sephetho := chatbot.Phetha(mosebetsi)

	// Hatisa sephetho
	fmt.Println(sephetho)
}

Li-block blocks tsena li bonts'a mokhoa oa ho theha chatbot u sebelisa LangChain ho Rust and Go.

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