** Aiwatar da ZeroOps tare da AI-Ƙirƙirar Lamba da Kayan Aikin Orchestration ***

** Gabatarwa ***

A cikin yanayin ci gaban software na yau da kullun, manufar ZeroOps ta fito a matsayin hanyar juyin juya hali don daidaita tsarin ci gaba. ZeroOps yana da nufin sarrafa duk tsarin rayuwa na ci gaba, daga tsarar lamba zuwa turawa, kyale masu haɓakawa su mai da hankali kan dabarun babban matakin da kerawa. Wannan labarin yana bincika haɗin kai na AI, DevOps, da kayan aikin kade-kade kamar DSPy da LangChain don cimma ZeroOps.

Menene ZeroOps?

ZeroOps wani tsari ne wanda ke neman kawar da buƙatar coding na hannu da turawa ta hanyar amfani da lambar AI da aka samar da kayan aikin ƙungiyar. Wannan hanya ta sa masu haɓakawa su mai da hankali kan ma'anar matsalar da sakamakon da ake so, yayin da tsarin AI ya haifar da lambar da ake bukata kuma ya tura shi don samarwa. ZeroOps ba game da maye gurbin masu haɓakawa ba ne, a maimakon haka ƙara ƙarfin su don mai da hankali kan manyan ayyuka.

** Matsayin AI a cikin ZeroOps ***

Hankali na wucin gadi (AI) yana taka muhimmiyar rawa a cikin ZeroOps ta hanyar samar da lambar da ta dace da bukatun aikin. Kayan aikin ƙirƙira lambar AI mai ƙarfi na iya bincika yankin matsala, gano ɗakunan karatu da tsarin da ake buƙata, da kuma samar da lambar inganci mai inganci wacce ta dace da ƙayyadaddun abubuwan da ake so. Wannan yana kawar da buƙatar coding na hannu, rage lokaci da ƙoƙarin da ake buƙata don haɓaka software.

** Kayan aikin Orchestration: DSPy da LangChain ***

Kayan aikin Orchestration kamar DSPy da LangChain sune mahimman abubuwan da ke cikin tsarin yanayin ZeroOps. Waɗannan kayan aikin suna ba da damar yin aiki da kai na ƙaddamarwa, ƙira, da saka idanu akan aikace-aikacen, tabbatar da haɗin kai tare da lambar AI da aka samar. DSPy, kayan aikin kaɗe-kaɗe na tushen Python, yana ba da API mai sauƙi da fahimta don ayyana ayyukan aiki da sarrafa ayyuka. LangChain, tsarin tushen tsatsa, yana ba da ƙarin tsarin fasali don ginawa da ƙaddamar da aikace-aikacen AI.

Misalin DSPy: Aiki ta atomatik

`` Python shigo da dspy

aikin aiki = dspy. Gudun aiki ( suna = "aikina", ayyuka =[ dspy.Task("gina", "gina aikace-aikace na"), dspy.Task("aikewa", "aikar da aikace-aikacena zuwa samarwa"), ] )

Ƙayyade tsarin ƙaddamarwa

config = dspy.Config( build_command = "python setup.py gini", deploy_command = "python deploy.py", )

Shigar da tsarin aiki

dspy.run (tsarin aiki, daidaitawa)

### Misalin LangChain: Gina Aikace-aikacen Ƙarfin AI

``tsatsa
amfani da langchain :: {sarkar, da sauri};

// Ƙayyade samfurin AI da faɗakarwa
bari samfurin = sarkar :: samfurin :: Model :: sabon ("rubutu-davinci-003");
let prompt = "Rubuta aikin Python don lissafta jimlar lambobi biyu";

// Ƙirƙirar code
bari code = model.generate_code (da sauri);

// Buga lambar da aka samar
println!("{}", code);

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

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

• DSP:
  • dspy.run(aiki, daidaitawa): Gudanar da aikin turawa
  • dspy.Workflow(suna = "my_deployment", ayyuka =[...]): Ƙayyade tafiyar aiki
  • `dspy.Task(suna = "gina", umarni = "python setup.py gini")': Ƙayyade aiki a cikin aikin turawa *LangChain:
  • sarkar :: samfurin :: Model :: sabo("rubutu-davinci-003"): Ƙirƙiri sabon samfurin AI
  • ` sarkar :: hanzari ("Rubuta aikin Python don ƙididdige jimlar lambobi biyu")': Ƙayyade hanzari don ƙirar AI
  • model.generate_code(gaggauta) : Ƙirƙirar lamba bisa ga faɗakarwa

Kallon gani

Anan ga hangen nesa na aikin ZeroOps ta amfani da Chart.js:

Json { "type": "bar", "data": { "labels": ["Tsarin Code", "Tsarin", "Sabbin"], "datasets": [ { "label": "ZeroOps Gudun Aiki", "bayanai": [10, 20, 30], "Bayan launi": ["#4CAF50", "#FF9800", "#2196F3"] } ] }, "zaɓi": { "take": { "nuna": gaskiya, "rubutu": "ZeroOps Gudun Aiki" }, "ma'auni": { "yAxes": [ { "zama": { "beginAtZero": gaskiya } } ] } } }

Wannan hangen nesa yana kwatanta manyan matakai guda uku na aikin ZeroOps: tsara lamba, turawa, da saka idanu.

**Kammalawa**

Aiwatar da ZeroOps tare da lambar AI da aka samar da kayan aikin kaɗe-kaɗe kamar DSPy da LangChain suna ba da tsarin juyin juya hali don haɓaka software. Ta hanyar sarrafa tsarin ci gaba na ci gaba, masu haɓakawa za su iya mai da hankali kan dabarun babban matakin da kerawa, wanda ke haifar da haɓaka haɓakawa da haɓakawa. Yayin da fasahar ke ci gaba da haɓakawa, muna iya tsammanin ganin ƙarin nagartaccen aikace-aikacen ZeroOps a cikin masana'antu daban-daban.

**Hanyoyin Gaba**


Makomar ZeroOps tana da alƙawarin da yawa, tare da ci gaba da bincike da haɓakawa a cikin ƙirar ƙira ta AI da kayan aikin ƙungiyar. Wasu wuraren bincike masu yuwuwa sun haɗa da:

** Ingantattun samfuran AI ***: Haɓaka ingantaccen ƙirar AI mai inganci wanda zai iya samar da lambar inganci.
* **Ingantattun kayan aikin ƙungiyar kaɗe-kaɗe**: Ƙirƙirar ƙarin cikakkun kayan aikin ƙungiyar kaɗe-kaɗe da abokantaka masu amfani waɗanda zasu iya sarrafa hadaddun ayyukan aiki.
* **Haɗin kai tare da wasu fasahohin ***: Haɗa ZeroOps tare da wasu fasahohin da ke tasowa, kamar blockchain da Intanet na Abubuwa (IoT).

Yayin da filin ke ci gaba da haɓakawa, muna iya tsammanin ganin ƙarin sabbin aikace-aikacen ZeroOps a cikin masana'antu daban-daban, wanda ke haifar da haɓaka aiki, inganci, da ƙima.