Ku Dhisida Wakiilada Caqliga leh ee LangChain: Abaabulida LLM-yada Codsiyada-dhabta ah ee Adduunka | B4N1

Ku Dhisida Wakiilada Caqliga leh ee LangChain: Abaabulida LLM-yada Codsiyada-dhabta ah ee Adduunka

8 months ago · b4n1 Tiempo de lectura: 5 min

** Dhisidda Wakiilada Caqliga leh ee LangChain: Abaabulka LLM-yada ee Codsiyada-Aduunyada Dhabta ah**

hordhac

Imaanshaha Modelsyada Luuqadaha Waaweyn (LLMs) waxa ay wax ka bedeshay hab-dhaqanka Luqadda Dabiiciga ah (NLP) waxana ay furtay dariiqyo cusub oo lagu horumarinayo wakiilada garaadka leh ee fahmi kara, dhalin kara, lana falgali kara luqadda aadanaha. LangChain waa maktabad Python ah oo bixisa qaab dabacsan oo la miisaami karo si loo dhiso wakiilada caqliga leh ee ka faa'iidaysta LLMs. Maqaalkan, waxaan ku sahamin doonaa isdhexgalka LangChain si loo horumariyo wakiilada caqliga leh, diiradda saaraya xeeladaha hirgelinta wax ku oolka ah, farsamooyinka orchestration, iyo isticmaalka kiisaska injineernimada software.

Maxay yihiin Wakiilada Caqliga leh?

Wakiilada caqli-galku waa barnaamijyo kombuyuutar ah oo ogaan kara deegaankooda, sabab uga dhigi kara macluumaadka ay helaan, oo qaadaan tallaabooyin ay ku gaadhaan yoolkooda. Waxaa loo malayn karaa inay yihiin go'aan-qaadayaal madaxbannaan oo la falgali kara isticmaalayaasha, wakiilada kale, ama nidaamyada si loo gaaro ujeedo gaar ah. Wakiilada caqliga leh waxaa loo kala saari karaa noocyo kala duwan, oo ay ku jiraan:

**Wakiilada ku saleysan sharciga ***: Wakiiladani waxay isticmaalaan sharciyo horay loo sii qeexay si ay go'aano u gaaraan. Wakiilada barashada mashiinka: Wakiiladani waxay isticmaalaan algorithms barashada mashiinka si ay wax uga bartaan xogta oo ay go'aan uga gaadhaan.

  • Wakiilada Isku-dhafka ah: Wakiiladani waxay isku daraan hababka barashada mashiinka si ay go'aan uga gaadhaan.

Waa maxay LangChain?

LangChain waa maktabad Python ah oo bixisa qaab dabacsan oo la miisaami karo si loo dhiso wakiilada caqliga leh ee ka faa'iidaysta LLMs. Waxay u ogolaataa horumariyeyaasha inay abuuraan, tababaraan, oo geeyaan LLM-yada, iyo sidoo kale inay ku dhex daraan moodooyinka iyo nidaamyada kale ee AI. LangChain waxay bixisaa sifooyin kala duwan, oo ay ku jiraan:

  • ** is dhexgalka LLM ***: LangChain wuxuu bixiyaa hab fudud oo hufan oo lagu dhex daro LLM-yada moodooyinka iyo nidaamyada kale ee AI.
  • ** Orchestration ***: LangChain waxay bixisaa farsamooyin abaabul oo kala duwan, oo ay ku jiraan maaraynta hawsha, maaraynta socodka shaqada, iyo maaraynta xogta.
  • ** Scalability ***: LangChain waxaa loogu talagalay in lagu cabbiro xog-ururin ballaaran iyo qulqul shaqo oo adag.

Xeeladaha Hirgelinta Waxtarka leh

Si aad u dhisto wakiilada caqliga leh ee LangChain, waxaad u baahan tahay inaad raacdo xeeladahan dhaqangelinta wax ku oolka ah:

  1. Dooro LLM: Dooro LLM oo buuxinaya shuruudahaaga, sida luqadda, cabbirka, iyo kakanaanta.
  2. ** Diyaari xogta ***: Diyaari xog-ururin ku habboon kiiskaaga isticmaal oo ku habboon tababbarka LLM.
  3. ** Tababar LLM ***: Tababar LLM adoo isticmaalaya xogta diyaarsan iyo API-ga tababarka LangChain.
  4. ** Ku dhex biir moodooyinka AI ee kale ***: Isku-dubarid LLM-ta tababbaran moodooyinka iyo nidaamyada kale ee AI adoo isticmaalaya is dhexgalka LangChain API.
  5. ** Hawlaha Orchestrate ***: Isticmaal LangChain's orchestration API si aad u maamusho hawlaha, socodka shaqada, iyo xogta.

** Farsamooyinka Abaabulka**

LangChain waxay bixisaa farsamooyin abaabul oo kala duwan oo loo isticmaali karo in lagu maareeyo hawlaha, socodka shaqada, iyo xogta. Qaar ka mid ah farsamooyinka orchesterka ee muhiimka ah waxaa ka mid ah:

  • ** Maareynta Hawsha ***: LangChain waxay bixisaa API maaraynta hawsha taasoo u oggolaanaysa horumariyayaasha inay abuuraan, maareeyaan, oo fuliyaan hawlaha. ** Maareynta socodka shaqada ***: LangChain wuxuu bixiyaa maaraynta socodka shaqada API kaas oo u oggolaanaya horumariyayaasha inay abuuraan, maamulaan, oo fuliyaan socodka shaqada. ** Maareynta xogta ***: LangChain waxay bixisaa API maaraynta xogta taasoo u oggolaanaysa horumariyeyaasha inay maareeyaan oo ay maamulaan xogta.

Isticmaal Kiisaska Injineerinka Software

LangChain waxaa loo isticmaali karaa xaalado kala duwan oo isticmaalka injineernimada software, oo ay ku jiraan:

  • ** Chatbots ***: LangChain waxaa loo isticmaali karaa in lagu dhiso sheeko-sheekeysi fahmi kara, dhalin karta, oo la falgeli karta luqadda aadanaha. ** Kaaliyeyaasha Virtual ***: LangChain waxaa loo isticmaali karaa in lagu dhiso kaaliyeyaasha farsamada kuwaas oo qaban kara hawlaha, ka jawaabi kara su'aalaha, iyo bixinta macluumaadka.
  • ** Jiilka nuxurka ***: LangChain waxaa loo isticmaali karaa in lagu soo saaro wax yaabaha, sida maqaallada, qoraalada blogga, iyo baraha bulshada.

** 5-10ka ugu sarreeya amarada/Qodobka ugu Isticmaalka badan**

Waa kuwan 5-10ka amarrada ugu badan ee la isticmaalo ee LangChain:

  1. ** Soo dejinta LangChain ***: 'soo dejinta langchain'
  2. Abuuritaanka LLM: llm = langchain.LLM("my_llm")
  3. Tababarka LLM: llm.tareen(xogta)
  4. Isku-dhafka moodooyinka kale ee AI: ai_model = langchain.AIModel("my_ai_model")
  5. Hawlaha abaabulka: `task = langchain. Hawsha("my_task")
  6. ** Maareynta socodka shaqada ***: `socodka shaqada = langchain. Socodka shaqada("my_flowflow")'
  7. Maaraynta xogta: data = langchain.Data("my_data")
  8. Abuuritaanka chatbot: chatbot = langchain.Chatbot("my_chatbot")
  9. Abuuritaanka caawiye toosan: Virtual_assistant = langchain.VirtualAssistant("my_virtual_assistant")
  10. ** Curinta tusmada**: content = langchain.ContentGenerator("my_content_generator")

Muuqaalka

Halkan waxaa ah muuqaalka naqshadaha LangChain iyadoo la adeegsanayo Chart.js: json { "type": "bar", "xogta": { "labels": ["LLM", "Orchestration", "Isdhexgalka", "Maaraynta Hawsha", "Maaraynta Socodka Shaqada", "Maaraynta Xogta"], "datasets": [ { "label": "LangChain Architecture", "xogta": [10, 8, 6, 4, 2, 1], "backgroundColor": ["#4CAF50", "#FF9800", "#2196F3", "#8BC34A", "#03A9F4", "#FFC107"] } ] }, "doorashooyinka": { "ciwaan": { "muujin": run, "text": "LangChain Architecture" }, "halyeey": { "muujin": run } } } Aragtidaani waxay muujineysaa qaybaha kala duwan ee qaab dhismeedka LangChain, oo ay ku jiraan LLMs, orchestration, is dhexgalka, maaraynta hawsha, maaraynta socodka shaqada, iyo maaraynta xogta.

** Gabagabo**

LangChain waa maktabad awood leh oo bixisa qaab dabacsan oo la miisaami karo si loo dhiso wakiilada caqliga leh ee ka faa'iidaysta LLMs. Iyagoo raacaya xeeladaha dhaqangelinta ee dhabta ah iyo farsamooyinka abaabulka ee lagu qeexay maqaalkan, horumariyayaashu waxay dhisi karaan wakiillo caqli-gal ah oo fahmi kara, dhalin kara, oo la falgeli kara luqadda aadanaha. Kiisaska la isticmaalo ee injineernimada softiweerku waxay muujinayaan kartida LangChain ee codsiyada kala duwan, laga bilaabo chatbots iyo kaaliyeyaasha farsamada ilaa jiilka nuxurka iyo in ka badan. Iyadoo LangChain, horumariyayaashu waxay abuuri karaan wakiilo caqli-gal ah oo qaban kara hawlo adag oo siin kara qiimaha isticmaalayaasha.

Cod Block

Halkan waxaa ah baloog kood fudud oo muujinaya sida loo abuuro chatbot iyadoo la adeegsanayo LangChain: `` Python soo dejinta langchain

llm = langchain.LLM("my_llm")

Samee chatbot

chatbot = langchain.Chatbot(llm)

Qeex hawl

hawl = langchain. Hawsha("my_task")

Fuli hawsha

natiijada = chatbot.execute (hawl)

daabac natiijada

daabac(natiijo) `` Koodhkan code-ku wuxuu abuuraa LLM, chatbot, iyo hawl, ka dibna wuxuu fulinayaa hawsha isagoo isticmaalaya chatbot-ka. Natiijadu waxay ku daabacan tahay console-ka

Rust and Go Code

LangChain sidoo kale waxay bixisaa Rust and Go bindings, kaas oo loo isticmaali karo in lagu dhiso wakiilada caqliga leh ee luuqadahan. Waa kuwan tusaale ka mid ah xannibaadda koodhka fudud ee Rust oo muujinaya sida loo abuuro chatbot iyadoo la adeegsanayo LangChain: `` miridhku isticmaal langchain :: {LLM, Chatbot};

fn main() { // Abuur LLM ha llm = LLM :: cusub ("my_llm");

// Abuur chatbot
ha chatbot = Chatbot :: cusub(llm);

// Qeex hawl
Ha hawshu = Hawsha :: cusub ("my_task");

// Fulinta hawsha
ha natiijado = chatbot.execute (hawsha);

// daabac natiijada
println!("{}", natiijo);

} Oo halkan waa tusaale ka mid ah xannibaadda fur fudud ee Go kaas oo muujinaya sida loo abuuro chatbot iyadoo la adeegsanayo LangChain: tag xirmo ugu weyn

soo dejinta ( "fmt" "github.com/langchain/langchain-go" )

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

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

// Qeex hawl
hawsha:= langchain.NewTask("my_task")

// Fulinta hawsha
natiijadu:= chatbot.Fulin(hawl)

// daabac natiijada
fmt.Println(natiijada)

} `` Xirmooyinka koodkan waxay muujinayaan sida loo abuuro chatbot iyadoo la adeegsanayo LangChain gudaha Rust iyo Go.

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