Gufungura ZeroOps hamwe nabakozi ba AI hamwe na Context Engineering: Uburyo bushingiye ku buryo bwo gukoresha Automatic ya AI DevOps ukoresheje StackGen na LangChain

Intangiriro

Mugihe cyihuta cyiterambere ryiterambere rya software, igitekerezo cya ZeroOps cyagaragaye nkuburyo bwimpinduramatwara kuri automatike ya DevOps. ZeroOps igamije gukuraho ibikenewe kwifashishwa muntoki mugutanga no gucunga sisitemu ya software, bigafasha abitezimbere kwibanda kumirimo yo murwego rwo hejuru nko guhanga udushya no guhanga. Muri iki kiganiro, tuzacengera mwisi ya ZeroOps tunasuzume uburyo abakozi ba AI hamwe nubwubatsi bwa contexte byakoreshwa kugirango iyi ntego igerweho. Tuzaganira kandi ku ishyirwa mu bikorwa ry'uburyo bushingiye ku buryo bwo gukoresha AI DevOps ukoresheje StackGen na LangChain.

ZeroOps ni iki?

ZeroOps ni paradizo ya DevOps ishaka gukoresha ama progaramu yose yubuzima bwa software, kuva iterambere kugeza kubohereza no kuyobora. Intego yibanze ya ZeroOps nugukuraho ibikenewe byintoki mugutanga no gucunga sisitemu ya software, bityo bikagabanya amahirwe yamakosa yabantu no kongera umuvuduko nuburyo bwo gutanga software.

Abakozi ba AI hamwe nubuhanga bwa Context

Abakozi ba AI hamwe nubuhanga bwubaka bigira uruhare runini mugushyira mubikorwa ZeroOps. Abakozi ba AI ni porogaramu zishobora kumenya ibidukikije no gufata ingamba zo kugera ku ntego zihariye. Ku rundi ruhande, ibijyanye n’ubuhanga, bikubiyemo gushushanya no gushyira mu bikorwa sisitemu zishobora kumva no gusubiza imiterere bakoreramo.

Mu rwego rwa ZeroOps, abakozi ba AI barashobora gukoreshwa mugutangiza imirimo itandukanye nko kohereza, kugerageza, no gukurikirana. Ubwubatsi bwa contexte burashobora gukoreshwa mugushushanya sisitemu zishobora gusobanukirwa nurwego bakoreramo, nkibidukikije, umukoresha, hamwe ninshingano ziriho.

StackGen: Uburyo bushingiye ku buryo bwo gukoresha AI DevOps Automation

StackGen ni isoko ifunguye-ifasha abitezimbere gushyira mubikorwa uburyo bushingiye kubikorwa bya AI DevOps. StackGen itanga urutonde rwibisobanuro byateganijwe mbere na templates zishobora gukoreshwa mugutangiza imirimo itandukanye nko kohereza, kugerageza, no gukurikirana.

StackGen yubatswe hejuru ya LangChain, urwego rufasha abitezimbere kubaka sisitemu ya AI yo kuganira. LangChain itanga urutonde rwa API nibikoresho bishobora gukoreshwa mukubaka sisitemu yo kuganira ya AI ishobora kumva no gusubiza ibyinjira mururimi karemano.

LangChain: Kubaka Sisitemu yo kuganira ya AI

LangChain ni urwego rushoboza abitezimbere kubaka sisitemu ya AI yo kuganira. LangChain itanga urutonde rwa API nibikoresho bishobora gukoreshwa mukubaka sisitemu yo kuganira ya AI ishobora kumva no gusubiza ibyinjira mururimi karemano.

LangChain yubatswe hejuru yumubare wubuhanga bufungura isoko, harimo TensorFlow na PyTorch. LangChain itanga urutonde rwa API nibikoresho bishobora gukoreshwa mukubaka sisitemu yo kuganira ya AI ishobora kumva no gusubiza ibyinjira mururimi karemano.

Gushyira mubikorwa ZeroOps hamwe na StackGen na LangChain

Kugirango dushyire mubikorwa ZeroOps hamwe na StackGen na LangChain, dukeneye gukurikiza intambwe nyinshi:

1. ** Sobanura umukozi wa AI **: Intambwe yambere mugushyira mubikorwa ZeroOps nugusobanura umukozi wa AI uzakoreshwa mugutangiza imirimo itandukanye. Umukozi wa AI arashobora gusobanurwa ukoresheje umubare wateganijwe mbere na templates zitangwa na StackGen.
2. Moteri yimiterere irashobora gushushanywa ukoresheje umubare wibikoresho bya API nibikoresho byatanzwe na LangChain. 3 ..
3. ** Gerageza no Kohereza **: Intambwe yanyuma nukugerageza no gukoresha umukozi wa AI mubidukikije.

Kode y'intangarugero: Gushyira mubikorwa umukozi wa AI woroshye ukoresheje StackGen na LangChain

Dore urugero rwerekana kode yerekana uburyo bwo gushyira mubikorwa byoroshye AI ukoresheje StackGen na LangChain: `` python gutumiza mu mahanga Kuva kumurongo.urunigi rutumiza LLMChain Kuva kumurongo.llms itumiza LLM

ai_agent = LLMChain ( llm = LLM ( icyitegererezo_izina = "davinci: 3-icyiciro", ubushyuhe = 0.5, max_tokens = 100, ), kwinjiza_format = "inyandiko", ibisohoka_format = "inyandiko", )

Sobanura moteri yimiterere

imiterere_engine = ururimi.ContextEngine ( llm = LLM ( icyitegererezo_izina = "davinci: 3-icyiciro", ubushyuhe = 0.5, max_tokens = 100, ), kwinjiza_format = "inyandiko", ibisohoka_format = "inyandiko", )

Shyira mubikorwa umukozi wa AI

ai_agent. Gushyira mu bikorwa ( imiterere_engine = imiterere_engine, input_text = "Uraho, umeze ute?", )

Gerageza kandi ukoreshe umukozi wa AI

ai_agent.ikizamini_kandi ( input_text = "Uraho, umeze ute?", ) `` ` Iyi kodegisi yerekana uburyo bwo gushyira mubikorwa byoroshye AI ukoresheje StackGen na LangChain. Umukozi wa AI asobanurwa hifashishijwe umubare wateganijwe mbere na templates zitangwa na StackGen. Moteri yimiterere yateguwe hifashishijwe umubare wibikoresho bya API nibikoresho byatanzwe na LangChain. Umukozi wa AI ashyirwa mubikorwa akoresheje umubare wibikoresho bya API nibikoresho byatanzwe na StackGen na LangChain. Hanyuma, umukozi wa AI arageragezwa kandi agashyirwa mubidukikije.

Hejuru 5-10 Amabwiriza Yakoreshejwe Byinshi / Udukoryo

Dore top 5-10 zikoreshwa cyane / ibisobanuro kuri StackGen na LangChain:

1. langchain.LLMChain (): Kurema ikintu gishya cya LLM.
2. langchain.ContextEngine (): Kurema ibintu bishya bya moteri.
3. LLM (model_name =" davinci: 3-batch ", ubushyuhe = 0.5, max_tokens = 100): Kurema ikintu gishya cya LLM gifite izina ryerekana icyitegererezo, ubushyuhe, nibimenyetso ntarengwa.
4. `ai_agent.
5. `Ai_agent.
6. langchain.llms.LLM (): Kurema ikintu gishya cya LLM.
7. langchain.iminyururu. LLMChain (): Kurema ikintu gishya cya LLM.
8. `ururimi.
9. `ai_agent.context_engine = ururimi.

Kubona amashusho

Hano hari amashusho yububiko bwa ZeroOps ukoresheje Chart.js: json { "ubwoko": "akabari", "amakuru": { "ibirango": ["Umukozi wa AI", "Moteri ya Context", "StackGen", "LangChain"], "imibare": [ { "label": "Ubwubatsi", "amakuru": [10, 8, 6, 4], "backgroundColor": ["# FF6384", "# 36A2EB", "# FFCE56", "# 4BC0C0"] } ] }, "amahitamo": { "umutwe": { "kwerekana": ukuri, "inyandiko": "Ubwubatsi bwa ZeroOps" }, "umugani": { "kwerekana": ukuri }, "umunzani": { "yAxes": [ { "amatiku": { "gutangiraAtZero": ukuri } } ] } } } ` Iyi visualisation yerekana imiterere ya sisitemu ya ZeroOps, harimo umukozi wa AI, moteri yimiterere, StackGen, na LangChain.

Umwanzuro

ZeroOps nuburyo bwimpinduramatwara kuri automatike ya DevOps ishaka gukuraho ibikenewe kwifashishwa nintoki mugutanga no gucunga sisitemu ya software. Abakozi ba AI hamwe nubuhanga bwubaka bigira uruhare runini mugushyira mubikorwa ZeroOps, kandi StackGen na LangChain bitanga uburyo bushingiye kuburyo bwo gukoresha AI DevOps. Mugushira mubikorwa umukozi wa AI woroshye dukoresheje StackGen na LangChain, turashobora gutangiza imirimo itandukanye nko kohereza, kugerageza, no gukurikirana. Hejuru ya 5-10 ikoreshwa cyane / ibisobanuro kuri StackGen na LangChain nabyo biratangwa, hamwe no kwerekana amashusho yububiko bwa ZeroOps ukoresheje Chart.js.