ZeroOps: Samun Kayan Aiki Mai Zaman Kanta tare da AI na AI da Kayan Aikin Orchestration | B4N1

ZeroOps: Samun Kayan Aiki Mai Zaman Kanta tare da AI na AI da Kayan Aikin Orchestration

7 months ago · b4n1 Read time: 4 min

** ZeroOps: Samun Kayan Aiki Mai Zaman Kanta tare da AI na Agentic da Kayan Aikin Orchestration ***

** Gabatarwa ***

A cikin yanayin ci gaba na injiniyan software da DevOps, ra'ayin ZeroOps ya fito a matsayin tsarin juyin juya hali na sarrafa kayan more rayuwa. ZeroOps yana nufin cimma abubuwan more rayuwa masu cin gashin kansu, inda tsarin zai iya warkar da kansa, daidaita kansa, da haɓaka kansa ba tare da sa hannun ɗan adam ba. Wannan hangen nesa yana yiwuwa ta hanyar haɗin kai na Artificial Intelligence (AI), injiniyan software, da aikin sarrafa DevOps. A cikin wannan labarin, za mu shiga cikin tsaka-tsakin waɗannan fasahohin da kuma gano yadda AI mai aiki da kayan aikin ƙungiyar kamar LangChain da DSPy zasu iya taimakawa wajen cimma ZeroOps a cikin girgije da tsarin da za a iya daidaitawa.

Matsalar Gudanar da Kayan Aikin Gaggawa na Gargajiya

Gudanar da ababen more rayuwa na al'ada sun haɗa da daidaitawar hannu, saka idanu, da warware matsalar tsarin. Wannan hanya tana da saurin kamuwa da kurakurai, rashin inganci, da kuma al'amuran scalability. Yayin da tsarin ke girma cikin rikitarwa, buƙatar sa hannun ɗan adam yana ƙaruwa, yana haifar da ƙarin farashi, raguwa, da takaici. Har ila yau, tsarin al'ada yana hana ƙirƙira, kamar yadda masu haɓakawa da masu gudanar da aiki ke damun su ta hanyar ayyuka na yau da kullum, suna barin lokaci kaɗan don dabarun dabarun.

** Haɓakar AI da kayan aikin Orchestration ***

AI Agent, wani yanki na hankali na wucin gadi, yana nufin tsarin da za su iya yin aiki a madadin kansu, yanke shawara da ɗaukar ayyuka ba tare da sa hannun ɗan adam ba. Kayan aikin kade-kade, a daya bangaren, suna sarrafa sarrafa hadaddun tsarin ta hanyar daidaita mu'amala tsakanin bangarori daban-daban. Haɗin kai na AI mai aiki da kayan aikin ƙungiyar makaɗa ya haifar da sabon tsarin tsarin da zai iya sarrafa kansa, warkar da kansa, da haɓaka kansa.

** LangChain: Tsarin Tsarin AI**

LangChain tsari ne na buɗe ido wanda ke ba masu haɓaka damar gina tsarin AI na aiki. Yana ba da saitin kayan aiki da ɗakunan karatu don sarrafa harshe na halitta (NLP), koyan inji (ML), da haɓaka software. An tsara gine-ginen LangChain don sauƙaƙe ƙirƙirar tsarin masu cin gashin kansu waɗanda za su iya hulɗa da mutane da sauran tsarin ta hanya mai ma'ana.

`` Python

daga langchain shigo da LLMChain

ayyana LLMChain mai sauƙi

llm_chain = LLMChain ( llm_name = "rubutu-davinci-003", zafin jiki = 0.7, max_length=2048, min_tsawon = 128, )

Yi amfani da LLMChain don ƙirƙirar rubutu

text = llm_chain.run ("Rubuta ɗan gajeren labari game da cat") buga (rubutu)


** DSPy: Tsari don Orchestration ***

DSPy tsarin buɗaɗɗen tushe ne wanda ke ba da saitin kayan aiki da ɗakunan karatu don gina tsarin ƙungiyar kade-kade. Yana baiwa masu haɓakawa damar sarrafa sarrafa sarkar tsarin ta hanyar daidaita hulɗar tsakanin sassa daban-daban. An tsara gine-ginen DSPy don sauƙaƙe ƙirƙirar tsarin sikeli da kuma jure rashin kuskure.

`` Python
# Misalin lambar DSPy
daga dspy shigo da Gudun Ayyuka

# Ƙayyade sauƙin aiki
aiki = aiki
    suna = "emple_flow_flow",
    ayyuka =[
        {"name": "task1", "type": "shell", "umurni": "echo 'Hello Duniya'"},
        {"name": "task2", "type": "python", "script": "print('Hello Duniya')"},
    ],
)

# Gudanar da aikin
aikin aiki.run ()

** Cimma ZeroOps tare da AI na AI da Kayan aikin Orchestration ***

Haɗuwa da AI mai aiki da kayan aikin kade-kade kamar LangChain da DSPy sun sa ya yiwu a cimma ZeroOps a cikin girgije da tsarin daidaitawa. Ta hanyar sarrafa sarrafa tsarin hadaddun tsarin, masu haɓakawa da masu aiki za su iya mai da hankali kan dabarun dabarun, yayin da tsarin ke sarrafa kansa, warkar da kansa, da haɓaka kansa.

Amfanin ZeroOps

Amfanin ZeroOps suna da yawa:

  • **Ƙara haɓakawa ***: Gudanar da kayan aikin sarrafa kansa yana rage kurakuran hannu kuma yana ƙara yawan aiki. ** Ingantaccen haɓakawa ***: Tsarin zai iya haɓaka sama ko ƙasa ta atomatik, ba tare da sa hannun ɗan adam ba.
  • ** Ingantaccen Aminci ***: Tsarin warkarwa na kai yana rage lokacin raguwa da haɓaka amincin tsarin gabaɗaya. ** Rage farashin ***: Gudanar da kayan aikin sarrafa kansa yana rage buƙatar sa hannun ɗan adam, yana haifar da tanadin farashi.

** Manyan Dokoki 5-10 da Akafi Amfani da su/Snippets**

Anan akwai wasu umarni da snippets da aka fi amfani da su don LangChain da DSPy:

LangChain + llm_chain.run("rubutu"): Gudanar da aikin tsara rubutu ta amfani da LLMChain. + llm_chain.train("bayanai"): Horar da samfurin harshe ta amfani da LLMChain. + llm_chain.evaluate("rubutu"): Ƙimar aikin ƙirar harshe ta amfani da LLMChain. *** DSPy** + workflow.run(): Gudanar da tafiyar aiki ta amfani da tsarin DSPy. + workflow.status(): Samu matsayin tafiyar aiki ta amfani da tsarin DSPy. + workflow.log(): Samo fitowar log na tafiyar aiki ta amfani da tsarin DSPy.

Kallon gani

Anan akwai sauƙi mai sauƙi ta amfani da Chart.js don ganin fa'idodin ZeroOps:

Json { "type": "bar", "data": { "labels": ["Ƙara Ƙarfafa", "Ingantacciyar Ƙarfafawa", "Ingantacciyar Aminci", "Rage Kuɗi"], "datasets": [ { "label": "Amfanin ZeroOps", "bayanai": [90, 85, 95, 80], "Bayan launi": ["#4CAF50", "#FF9800", "#2196F3", "#009688"], "BorderColor": ["#4CAF50", "#FF9800", "#2196F3", "#009688"], "BorderWidth": 1 } ] }, "zaɓi": { "take": { "nuna": gaskiya, "text": "Amfanin ZeroOps" }, "ma'auni": { "yAxes": [ { "zama": { "beginAtZero": gaskiya } } ] } } }


**Kammalawa**

ZeroOps hanya ce ta juyin juya hali ga sarrafa kayan more rayuwa wanda ke ba da damar tsarin sarrafa kansa, warkar da kansa, da haɓaka kansa. Ta hanyar yin amfani da AI mai mahimmanci da kayan aikin ƙungiyar kade-kade kamar LangChain da DSPy, masu haɓakawa da masu aiki za su iya samun haɓaka haɓaka, haɓaka haɓakawa, ingantaccen aminci, da rage farashi. Yayin da fasahar ke ci gaba da haɓakawa, za mu iya tsammanin ganin ƙarin sabbin aikace-aikacen ZeroOps a cikin gajimare da tsarin daidaitawa.

Have Questions?

Let's Talk

Contact me on LinkedIn