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:
- Kgetha LLM: Kgetha LLM e kgotsofatsang ditlhoko tsa hao, tse kang puo, boholo, le ho rarahana.
- Lokisetsa data: Lokisetsa pokello ea boitsebiso e amanang le boemo ba hao ba tšebeliso le e loketseng bakeng sa ho koetlisa LLM.
- Koetlisa LLM: Koetlisa LLM ho sebelisa dataset e lokisitsoeng le API ea koetliso ea LangChain.
- ** 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.
- **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:
- Ho kenya LangChain:
import langchain - Ho theha LLM:
llm = langchain.LLM("my_llm") - Ho koetlisa LLM:
llm.train(data) - Ho kopanya le mefuta e meng ya AI:
ai_model = langchain.AIModel("my_ai_model") - Mesebetsi ea ho hlophisa:
task = langchain.Task("my_task") - Ho laola metsamao ya mosebetsi:
motsamao wa mosebetsi = langchain.Motsamao wa mosebetsi("my_workflow") - Ho laola data:
data = langchain.Data("my_data") - Ho theha chatbot:
chatbot = langchain.Chatbot("my_chatbot") - Ho etsa mothusi wa sebele:
virtual_assistant = langchain.VirtualAssistant("my_virtual_assistant") - 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.