Ukusetyenziswa kweZixhobo zokuThengisa kwi-AI-Powered Software Architecture

Intshayelelo

Imfuno ekhulayo ye-AI-powered software architecture iye yakhokelela ekuphuhlisweni kwezixhobo ezahlukeneyo ze-orchestration ezenza ukuba kudityaniswe i-Artificial Intelligence (AI) kunye nokuFunda koMatshini (ML) kwiinkqubo zesoftware. Kule nqaku, siza kuphonononga ukuphunyezwa kwe-AI ye-architecture ye-software esebenzisa izixhobo ze-orchestration ezifana ne-LangChain kunye ne-DSPy, ngokugxila ekuhlanganiseni i-RAG (Ukuqiqa kunye ne-Action Graph) kunye ne-LLM (uMzekelo weeLwimi oMkhulu) amandla okuphucula ukulinganisa, ukusebenza kunye nokhuseleko.

Zintoni izixhobo zeOkhestra?

Izixhobo ze-Orchestration zizikhokelo zesoftware ezenza ukuba kube lula ukuqhutywa komsebenzi onzima kunye neenkqubo ngokudibanisa iinkonzo ezininzi, izicelo kunye neenkqubo. Babonelela ngeqonga eliphakathi lokulawula kunye nokulungelelaniswa kwentsebenziswano phakathi kwamacandelo ahlukeneyo, ukuqinisekisa ukuphunyezwa kwemisebenzi ngokufanelekileyo kunye nokukhawuleza.

LangChain: Isixhobo seOkhestration esekwe kwiPython

ILangChain yilayibrari yePython evulekileyo ebonelela ngesakhelo esibanzi sokwakha i-AI-powered software architecture. Inika uluhlu lweempawu, kubandakanya:

** I-RAG (Ukuqiqa kunye ne-Action Graph) Integration **: I-LangChain ibonelela ngokuphunyezwa kwe-RAG eyakhelweyo, eyenza ukuba kudalwe iingcinga eziyinkimbinkimbi kunye neegrafu zezenzo ezinokuthi zisetyenziswe ukwenza imodeli kunye nokuqhuba ukuhamba komsebenzi oqhutywa yi-AI.
**LLM (Umzekelo weeLwimi oMkhulu) Udibaniso **: I-LangChain isekela ukuhlanganiswa kwee-LLMs, ezifana ne-LLaMA kunye ne-BERT, ukwenzela ukuqhutyelwa kolwimi lwendalo kunye nemisebenzi yokuvelisa.
**I-Scalability kunye neNtsebenzo **: I-LangChain yenzelwe ukujongana nomsebenzi omkhulu we-AI, ukubonelela ngokusebenza ngokufanelekileyo kunye nokunyuka kwemisebenzi.

Ukuphumeza i-AI-Driven Software Architecture ngeLangChain

Ukubonisa ukuphunyezwa koyilo lwe-software eqhutywa yi-AI usebenzisa i-LangChain, makhe siqwalasele umzekelo olula we-chatbot esebenzisa i-RAG ukuqiqa malunga nemibuzo yomsebenzisi kunye nokuvelisa iimpendulo.

ngenisa i-langchain
ukusuka langchain.chains ukungenisa llm


iragi = langchain.RAG(
    igama="chatbot_rag",
    iindawo=[
        {"name": "greeting", "text": "Molo, ndingakunceda ngantoni?"},
        {"name": "sala kakuhle", "text": "Usale kakuhle, bekumnandi ukuncokola nawe."},
    ],
    imiphetho=[
        {"from": "greeting", "to": "goodbye", "condition": "user_says_goodbye"},
    ],
)

# Yenza iLLM
llm = llm.LLM(
    igama="chatbot_llm",
    imodeli = "llama",
    max_tokens=100,
)

# Yenza ikhonkco le-chatbot
ikhonkco = langchain.Chain(
    igama="chatbot_chain",
    llm=llm,
    idlaka=idlakadlaka,
)

# Vavanya i-chatbot
user_input = "Molo, unjani?"
impendulo = chain.run(user_input)
shicilela(impendulo)

I-DSPy: Isixhobo seOkhestration eseMhlwa

I-DSPy sisixhobo se-orchestration esekwe-Rust ebonelela ngenkqubo yokusebenza ephezulu kunye nesakhelo esinokwehla sokwakha i-AI-powered software architecture. Inika uluhlu lweempawu, kubandakanya:

** I-RAG (i-RAG (Ukuqiqa kunye ne-Action Graph) Udibaniso **: I-DSPy ibonelela ngokuphunyezwa kwe-RAG eyakhelwe-ngaphakathi, eyenza ukudalwa kwengqiqo enzima kunye neegrafu zezenzo ezinokuthi zisetyenziswe ukwenza imodeli kunye nokuqhuba ukuhamba komsebenzi oqhutywa yi-AI.
LLM (iModeli yoLwimi oMkhulu) Udibaniso: I-DSPy ixhasa ukudityaniswa kwee-LLMs, ezifana ne-LLaMA kunye ne-BERT, ukwenzela ukusetyenzwa kolwimi lwendalo kunye nemisebenzi yokuvelisa.
I-Scalability kunye neNdlela yokuSebenza: I-DSPy yenzelwe ukujongana nomsebenzi omkhulu we-AI, ukubonelela ngokuqhutywa kwemisebenzi ngokufanelekileyo kunye nokunyuka.

Ukuphumeza i-AI-Driven Software Architecture nge-DSPy

Ukubonisa ukuphunyezwa koyilo lwesoftware eqhutywa yi-AI kusetyenziswa i-DSPy, makhe siqwalasele umzekelo olula we-chatbot esebenzisa i-RAG ukuqiqa malunga nemibuzo yabasebenzisi kunye nokuvelisa iimpendulo.

sebenzisa i-dSpy :: ikhonkco;
sebenzisa i-dspy::llm;

// Yenza iRAG
vumela i-rag = ityathanga::RAG::intsha(
    "chatbot_rag",
    vec![
        chain::Node::intsha("ndibulisile", "Molo, ndingakunceda ngantoni?"),
        chain::Node::new("usale kakuhle", "Usale kakuhle, bekumnandi ukuncokola nawe."),
    ],
    vec![
        chain::Edge::intsha("umbuliso", "usale kakuhle", "umsebenzisi_uthi_usale kakuhle"),
    ],
);

// Yenza iLLM
vumela llm = llm::LLM::entsha(
    "chatbot_llm",
    "Lama",
    I-100,
);

// Yenza ikhonkco le-chatbot
vumela ikhonkco = ityathanga::Chayini::entsha(
    "Chatbot_chain",
    llm,
    iraphu,
);

// Vavanya i-chatbot
let user_input = "Molo, unjani?";
vumela impendulo = chain.run (user_input);
println!("{}", impendulo);

Ephezulu 5-10 Eyeyona Isetyenziswayo Imiyalelo/iziqwengana

Nantsi eminye yemiyalelo edla ngokusetyenziswa kunye neziqwengana zeLangChain kunye neDSPy:

LangChain:
- langchain.RAG(): Yenza umzekelo omtsha weRAG.
- langchain.LLM(): Yenza umzekelo omtsha weLLM.
- langchain.Chain(): Yenza umzekelo omtsha wekhonkco.
- rag.run(): Isebenzisa iRAG kwaye yenza impendulo.
- llm.run(): Isebenzisa iLLM kwaye ivelise impendulo.
DSPy:
- dspy::chain::RAG::entsha(): Yenza umzekelo omtsha weRAG.
- dspy::llm::LLM::entsha(): Yenza umzekelo omtsha weLLM.
- dspy::chain::Chain::new(): Yenza umzekelo omtsha wetsheyini.
- chain.run(): Ibaleka ikhonkco kwaye wenze impendulo.

Umbono

Nanku umboniso olula weRAG kunye neLLM yezakhono usebenzisa iChart.js:

const ctx = document.getElementById('myChart').getContext('2d');
const itshati = iTshati entsha (ctx, {
    uhlobo: 'bar',
    idatha: {
        iilebhile: ['RAG', 'LLM'],
        uluhlu lwedatha: [{
            ileyibheli: 'Izakhono',
            idatha: [10, 20],
            umbala ongasemva: [
                'rgba(255, 99, 132, 0.2)',
                'rgba(54, 162, 235, 0.2)',
            ],
            umbala womda: [
                'rgba(255, 99, 132, 1)',
                'rgba(54, 162, 235, 1)',
            ],
            umdaUbubanzi: 1
        }]
    },
    iinketho: {
        izikali: {
            y: {
                qalaAtZero: yinyani
            }
        }
    }
});

Isiphelo

Ukuqukumbela, iLangChain kunye ne-DSPy zizixhobo ezinamandla zokubethelela ezenza ukuphunyezwa kwe-AI eqhutywa yi-software ye-architecture esebenzisa i-RAG kunye ne-LLM. Ngokusebenzisa ezi zixhobo, abaphuhlisi banokudala iinkqubo zesoftware ezinobungozi, ezisebenzayo, nezikhuselekileyo ezinokusingatha umthwalo onzima we-AI. Ngokusebenzisa kwabo lula kunye nokuguquguquka, iLangChain kunye ne-DSPy zikhetho ezifanelekileyo zokwakha i-AI-powered software architecture.

Iingcebiso

Ngokusekwe kwingxoxo kweli nqaku, nazi ezinye iingcebiso zabaphuhlisi abafuna ukuphumeza i-AI-drived software architecture usebenzisa iLangChain kunye neDSPy:

Qala ngokufunda iziseko zeLangChain kunye ne-DSPy, kubandakanywa amandla abo e-RAG kunye ne-LLM.
Linga ngemizekelo elula, enjengomzekelo we-chatbot, ukuze uzive ngendlela ezisebenza ngayo izixhobo.
Ngokuthe ngcembe uqhubela phambili kwiiprojekthi ezinzima ngakumbi, ezinjengokwakha isixokelelwano sokucebisa okanye umbhobho wokulungisa ulwimi lwendalo.
Sebenzisa icandelo leMiyalelo/Iziqwengana eziPhezulu ezi-5-10 njengesikhokelo semiyalelo eqhelekileyo kunye neziqwengana.
Yiba nomfanekiso-ngqondweni wezakhono zakho zeRAG kunye neLLM usebenzisa iChart.js ukufumana ulwazi olungcono lobudlelwane phakathi kwamacandelo ahlukeneyo.

Ngokulandela ezi ngcebiso, abaphuhlisi banokuvula amandla apheleleyo e-LangChain kunye ne-DSPy kunye nokwakha i-AI-powered software architecture enokusingatha imithwalo yemisebenzi enzima kunye nokubonelela ngokusebenza okukhethekileyo kunye nokunciphisa.

Yenza iRAG