Nhanganyaya
Mumazuva ano anomhanya-mhanya edhijitari, manejimendi ezvivakwa rave basa rakaoma uye rinotora nguva. Nekukwira kwegore komputa, kutakura zvinhu, uye microservices, iyo yechinyakare DevOps maitiro ekutarisira zvivakwa zvave kuwedzera kunetsa. Apa ndipo panouya ZeroOps - nzira yekuchinja kune manejimendi ezvivakwa iyo inokwirisa maAI vamiririri uye orchestration maturusi ekugadzira kuzvirapa, kuzvigadzirisa zvivakwa.
Muchinyorwa chino, tichaongorora mharadzano yeAI, DevOps, uye ZeroOps kugadzira inozvimiririra manejimendi manejimendi uchishandisa LangChain, DSPy, uye StackGen. Isu tichaongorora mune zvinoshanda zvekushandisa ZeroOps, kusanganisira kodhi mienzaniso, rondedzero yemirairo, uye kuona.
Chii chinonzi ZeroOps?
ZeroOps ishanduko yeparadigm mukutonga kwezvivakwa ine chinangwa chekubvisa kudiwa kwekupindira kwevanhu mukugadzirisa zvivakwa. Iyo inozadzisa izvi nekusimudzira maAI vamiririri uye orchestration maturusi kuita otomatiki mabasa akadai sekutarisa, kuyera, uye kugadzirisa matambudziko.
Pfungwa huru kuseri kweZeroOps kugadzira kuzvirapa, kuzvigadzirisa zvivakwa zvinogona kuenderana nekuchinja mabasa uye nharaunda pasina kupindira kwevanhu. Izvi zvinowanikwa nekushandisa maAI vamiririri kuongorora data kubva kwakasiyana masosi, kuona mapatani, uye kuita sarudzo dzekugadzirisa mashandiro ezvivakwa.
AI Agents uye Orchestration Zvishandiso
AI vamiririri uye orchestration maturusi ndiwo musana weZeroOps. AI vamiririri zvirongwa zvesoftware zvinoshandisa muchina kudzidza algorithms kuongorora data uye kuita sarudzo. Maturusi eOrchestration, kune rumwe rutivi, anoshandiswa kuita otomatiki mabasa akadai sekuendesa, kuyera, uye kutarisa.
Vamwe vanozivikanwa veAI vamiririri uye maturusi ekuridza anoshandiswa muZeroOps anosanganisira:
- LangChain: Raibhurari yePython yekuvaka yekukurukurirana AI vamiririri.
- DSPy: Raibhurari yePython yekuvaka mapaipi esainzi data.
- StackGen: Chishandiso che automating kuendesa zvivakwa uye manejimendi.
Kuita ZeroOps neLangChain, DSPy, uye StackGen
Muchikamu chino, tichapa muenzaniso unoshanda wekushandisa ZeroOps uchishandisa LangChain, DSPy, uye StackGen.
Danho 1: Kumisikidza Nzvimbo
Kuti titange, tinoda kumisa nharaunda yedu neLangChain, DSPy, uye StackGen. Tinogona kuisa maraibhurari aya tichishandisa pip:
pip kuisa langchain dspy stackgen
Danho 2: Kuvaka iyo AI Agent
Zvadaro, tinoda kuvaka AI mumiririri wedu achishandisa LangChain. Tinogona kugadzira mumiriri akareruka anoshandisa mitauro yechisikigo kugadzirisa (NLP) kuongorora matanda uye kuona mapatani:
kubva ku langchain import LLAMA
# Gadzira mumiriri weLLAMA
mumiririri = LLAMA(
muenzaniso_zita = "xlarge",
max_length=1024,
tembiricha=0.5,
)
# Tsanangura basa rekuongorora matanda
def analyze_logs(logs):
# Shandisa mumiririri kuongorora matanda
zvabuda = agent.run(logs)
return output
# Edza basa racho
logs = ["Kukanganisa: Kubatana kwapera nguva", "Kanganiso: Dhatabhesi yekubatanidza yakundikana"]
kubuda = analyze_logs (logs)
dhinda (zvakabuda)
Danho rechitatu: Kuvaka Chimbo Chekuridza
Tevere, isu tinofanirwa kuvaka yedu orchestration chishandiso tichishandisa StackGen. Isu tinogona kugadzira chishandiso chakareruka chinoitisa otomatiki kutumira uye kuyera:
kubva ku stackgen import StackGen
# Gadzira muenzaniso weStackGen
stackgen = StackGen ()
# Tsanangura basa rekuisa uye kuyera
def deploy_and_scale():
# Shandisa StackGen kuendesa uye kuyera
stackgen.deploy_and_scale()
return
# Edza basa racho
deploy_and_scale()
Danho rechina: Kubatanidza AI Agent uye Orchestration Tool
Chekupedzisira, isu tinofanirwa kubatanidza yedu AI mumiriri uye orchestration chishandiso kugadzira ZeroOps system. Tinogona kushandisa DSPy kugadzira pombi yesainzi yedata inobatanidza maviri:
kubva dspy import Pipeline
# Gadzira pombi
pombi = Pipeline ()
# Wedzera iyo AI mumiriri kune pombi
pipeline.add_task(analyze_logs)
# Wedzera iyo orchestration chishandiso kune pombi
pipeline.add_task(deploy_and_scale)
# Mhanya pombi
pipeline.run()
Yepamusoro 5-10 Yakanyanya Kushandiswa Mirairo / Zvimedu
Heano iwo epamusoro 5-10 anonyanya kushandiswa mirairo / snippets yeZeroOps:
pip install langchain dspy stackgen: Isa LangChain, DSPy, uye StackGen.kubva ku langchain import LLAMA: Pinza mumiririri weLLAMA kubva kuLangChain.mumiririri = LLAMA(...): Gadzira mumiririri weLLAMA.def analyze_logs(logs): ...: Tsanangura basa rekuongorora matanda uchishandisa AI agent.kubva ku stackgen import StackGen: Ngenisa iyo StackGen muenzaniso kubva kuStackGen.stackgen = StackGen(): Gadzira muenzaniso weStackGen.def deploy_and_scale(): ...: Tsanangura basa rekuisa nekuyera uchishandisa StackGen.kubva kudspy import Pipeline: Ngenisa Pipeline kirasi kubva kuDSPy.pombi = Pipeline(): Gadzira pombi.pipeline.add_task(analyze_logs): Wedzera mumiririri weAI papombi.
Kuona
Heino ratidziro yeZeroOps system uchishandisa Chart.js:
{
"type": "bha",
"data": {
"labels": ["AI Agent", "Orchestration Tool", "Data Science Pipeline"],
"datasets": [
{
"label": "ZeroOps System",
"data": [10, 20, 30],
"backgroundColor": ["#4CAF50", "#FF9800", "#2196F3"]
}
]
},
"sarudzo": {
"zita": {
"kuratidza": chokwadi,
"zvinyorwa": "ZeroOps System Zvikamu"
},
"zvikero": {
"yAxes": [
{
"zvikwekwe": {
"beginAtZero": chokwadi
}
}
]
}
}
}
Kuona uku kunoratidza zvinhu zvitatu zvakakosha zveZeroOps system: iyo AI mumiriri, chishandiso che orchestration, uye pombi yesainzi yedata.
Mhedziso
ZeroOps inzira yekuchinja kune manejimendi ezvivakwa iyo inokwirisa maAI vamiririri uye orchestration maturusi ekugadzira kuzvirapa, kuzvigadzirisa zvivakwa. Nekushandisa LangChain, DSPy, uye StackGen, tinogona kuvaka ZeroOps sisitimu inogadzirisa mabasa akadai sekutarisa, kuyera, uye kugadzirisa matambudziko.
Muchikamu chino, takapa muenzaniso unoshanda wekushandisa ZeroOps uchishandisa LangChain, DSPy, uye StackGen. Isu takapawo ratidziro yeZeroOps system tichishandisa Chart.js.
Tinovimba kuti chinyorwa ichi chapa mhedziso yakazara yeZeroOps uye kugona kwayo kushandura mabatiro atinoita zvivakwa.