Ho notlolla ZeroOps ka li-AI Agents le Context Engineering: Mokhoa o Thehiloeng ho Moetso ho AI DevOps Automation o sebelisa StackGen le LangChain
Selelekela
Sebakeng se ntseng se fetoha ka potlako sa nts'etsopele ea software, mohopolo oa ZeroOps o hlahile e le mokhoa oa phetoho ho DevOps automation. Sepheo sa ZeroOps ke ho felisa tlhokahalo ea ho kenella ka letsoho phepelong le tsamaisong ea litsamaiso tsa software, ho thusa bahlahisi ho tsepamisa maikutlo mesebetsing ea maemo a holimo joalo ka boqapi le boqapi. Sengoliloeng sena, re tla shebana le lefats'e la ZeroOps mme re hlahlobe hore na liakhente tsa AI le boenjiniere ba maemo li ka sebelisoa joang ho fihlela sepheo sena. Hape re tla tšohla ts'ebetsong ea mokhoa o thehiloeng ho mohlala ho AI DevOps automation e sebelisang StackGen le LangChain.
ZeroOps ke eng?
ZeroOps ke paradigm ea DevOps e batlang ho iketsetsa bophelo bohle ba nts'etsopele ea software, ho tloha ho nts'etsopele ho isa ho tsamaiso le taolo. Sepheo se seholo sa ZeroOps ke ho felisa tlhokahalo ea ho kenella ka letsoho ho tsamaisa le tsamaiso ea lisebelisoa tsa software, kahoo ho fokotsa monyetla oa liphoso tsa batho le ho eketsa lebelo le katleho ea phano ea software.
Baemeli ba AI le Boenjiniere ba Litaba
Baemeli ba AI le boenjiniere ba maemo ba bapala karolo ea bohlokoa ts'ebetsong ea ZeroOps. Baemeli ba AI ke mananeo a software a ka bonang tikoloho ea bona mme a nka mehato ho fihlela sepheo se itseng. Ka lehlakoreng le leng, boenjiniere ba maemo bo kenyelletsa ho rala le ho kenya tšebetsong litsamaiso tse ka utloisisang le ho arabela maemo ao li sebetsang ho tsona.
Boemong ba ZeroOps, liakhente tsa AI li ka sebelisoa ho iketsetsa mesebetsi e fapaneng joalo ka ho tsamaisa, ho etsa liteko le ho beha leihlo. Boenjineri ba maemo bo ka sebelisoa ho rala litsamaiso tse ka utloisisang maemo ao li sebetsang ho tsona, joalo ka tikoloho, mosebelisi le mosebetsi o etsoang.
StackGen: Mokhoa o Thehiloeng Pateroneng oa AI DevOps Automation
StackGen ke moralo oa mohloli o bulehileng o nolofalletsang batho ba ntlafatsang ho kenya tšebetsong mokhoa o ipapisitseng le mokhoa oa boits'oaro ba AI DevOps. StackGen e fana ka sete ea lipaterone le litempele tse boletsoeng esale pele tse ka sebelisoang ho iketsetsa mesebetsi e fapaneng joalo ka ho tsamaisa, liteko le ho beha leihlo.
StackGen e hahiloe holim'a LangChain, moralo o nolofalletsang batho ba ntlafatsang ho haha litsamaiso tsa puisano tsa AI. LangChain e fana ka sehlopha sa li-API le lisebelisoa tse ka sebelisoang ho haha litsamaiso tsa puisano tsa AI tse ka utloisisang le ho arabela ho kenya letsoho puong ea tlhaho.
LangChain: Ho aha Litsamaiso tsa Puisano tsa AI
LangChain ke moralo o nolofalletsang batho ba ntlafatsang ho haha litsamaiso tsa puisano tsa AI. LangChain e fana ka sehlopha sa li-API le lisebelisoa tse ka sebelisoang ho haha litsamaiso tsa puisano tsa AI tse ka utloisisang le ho arabela ho kenya letsoho puong ea tlhaho.
LangChain e hahiloe ka holim'a mekhoa e mengata ea lisebelisoa tse bulehileng, ho kenyeletsa TensorFlow le PyTorch. LangChain e fana ka sehlopha sa li-API le lisebelisoa tse ka sebelisoang ho haha litsamaiso tsa puisano tsa AI tse ka utloisisang le ho arabela ho kenya letsoho puong ea tlhaho.
Ho kenya tšebetsong ZeroOps ka StackGen le LangChain
Ho kenya tšebetsong ZeroOps ka StackGen le LangChain, re hloka ho latela mehato e mengata:
- Hlalosa Moemeli oa AI: Mohato oa pele oa ho kenya tšebetsong ZeroOps ke ho hlalosa moemeli oa AI o tla sebelisoa ho iketsetsa mesebetsi e fapaneng. Moemeli oa AI a ka hlalosoa ho sebelisoa mekhoa e mengata e hlalositsoeng esale pele le li-template tse fanoeng ke StackGen.
- Rala Enjene ea Moemeli: Mohato o latelang ke ho rala mochine oa moelelo o tla sebelisoa ho utloisisa le ho arabela moelelong oo moemeli oa AI a sebetsang ho oona. Mochine oa moelelo o ka etsoa ho sebelisoa li-API tse ngata le lisebelisoa tse fanoeng ke LangChain.
- ** Phethahatso ea Moemeli oa AI **: Hang ha moemeli oa AI le mochine oa moelelo o hlalositsoe, mohato o latelang ke ho kenya ts'ebetsong moemeli oa AI ho sebelisa li-API tse ngata le lisebelisoa tse fanoeng ke StackGen le LangChain.
- **Teko le ho Sebelisa **: Mohato oa ho qetela ke ho hlahloba le ho romela moemeli oa AI sebakeng sa tlhahiso.
Mohlala oa Khoutu: Ho kenya tšebetsong Moemeli o Bonolo oa AI o sebelisa StackGen le LangChain
Mona ke mohlala oa block block o bonts'ang mokhoa oa ho kenya ts'ebetsong moemeli oa AI o bonolo o sebelisa StackGen le LangChain:
import langchain
ho tsoa ho langchain.chains import LLMChain
ho tsoa ho langchain.llms kenya LLM
ai_agent = LLMChain(
llm=LLM(
lebitso_la mohlala = "davinci:3-batch",
mocheso=0.5,
max_tokens=100,
),
input_format="mongolo",
output_format="mongolo",
)
# Hlalosa enjine ea litaba
context_engine = langchain.ContextEngine(
llm=LLM(
lebitso_la mohlala = "davinci:3-batch",
mocheso=0.5,
max_tokens=100,
),
input_format="mongolo",
output_format="mongolo",
)
# Kenya tšebetsong moemeli oa AI
ai_agent. phethahatso(
moelelo_enjene=enjene_ea moelelo,
input_text="Dumela, o phela jwang?",
)
# Lekola 'me u romelle moemeli oa AI
ai_agent.test_and_deploy(
input_text="Dumela, o phela jwang?",
)
Sebaka sena sa khoutu se bontša mokhoa oa ho kenya ts'ebetsong moemeli oa AI o bonolo o sebelisa StackGen le LangChain. Moemeli oa AI o hlalosoa ka ho sebelisa mekhoa e mengata e hlalositsoeng esale pele le li-template tse fanoeng ke StackGen. Mochine oa moelelo o entsoe ka ho sebelisa li-API tse ngata le lisebelisoa tse fanoeng ke LangChain. Moemeli oa AI o sebelisoa ho sebelisa li-API tse ngata le lisebelisoa tse fanoeng ke StackGen le LangChain. Qetellong, moemeli oa AI oa lekoa le ho kenngoa sebakeng sa tlhahiso.
Kaholimo ho 5-10 Litaelo/Lipotlana tse Sebelisitsoeng ka ho Fetisisa
Mona ke tse 5-10 tse sebelisoang ka ho fetesisa litaelo/likotoana tsa StackGen le LangChain:
langchain.LLMChain(): E theha ntho e ncha ea ketane ea LLM.langchain.ContextEngine(): E theha ntho e ncha ea enjine ea moelelo.LLM(model_name="davinci:3-batch", mocheso=0.5, max_tokens=100): E theha ntho e ncha ea LLM e nang le lebitso la mohlala le boletsoeng, mocheso, le boholo ba li-tokens.ai_agent.implement(context_engine=context_engine, input_text="Dumela, o phela jwang?"): E kenya tshebetsong moemedi wa AI ka ho sebedisa enjene ya moelelo o itseng le mongolo o kenngwang.ai_agent.test_and_deploy(input_text="Dumela, o phela jwang?"): Lekola le ho sebedisa moemedi wa AI o sebedisa mongolo o kentsweng o itseng.langchain.llms.LLM(): E theha ntho e ncha ea LLM.langchain.chains.LLMChain(): E theha ntho e ncha ea ketane ea LLM.langchain.ContextEngine(llm=LLM(model_name="davinci:3-batch", mocheso=0.5, max_tokens=100)): E etsa ntho e ntjha ya enjene ya moelelo ka ho sebedisa ntho e boletsweng LLM.ai_agent.context_engine = langchain.ContextEngine(llm=LLM(model_name="davinci:3-batch", mocheso=0.5, max_tokens=100)): E beha enjene ea moelelo oa moemeli oa AI ho ntho e boletsoeng enjineng ea moelelo.ai_agent.input_text = "Dumela, o phela jwang?": E beakanya mongolo o kengwang wa moemedi wa AI ho mongolo o kentsweng o itseng.
Pono ya pono
Mona ke pono ea meralo ea ZeroOps e sebelisang Chart.js:
{
"type": "bar",
"data": {
"labels": ["AI Agent", "Context Engine", "StackGen", "LangChain"],
"lintlha tsa boitsebiso": [
{
"label": "Architecture",
"data": [10, 8, 6, 4],
"backgroundColor": ["#FF6384", "#36A2EB", "#FFCE56", "#4BC0C0"]
}
]
},
"likgetho": {
"sehlooho": {
"bontša": 'nete,
"text": "ZeroOps Architecture"
},
"tšōmo": {
"pontšo": 'nete
},
"makala": {
"yAxes": [
{
"li-ticks": {
"beginAtZero": 'nete
}
}
]
}
}
}
Pontšo ena e bonts'a meralo ea sistimi ea ZeroOps, ho kenyeletsoa moemeli oa AI, enjene ea litaba, StackGen, le LangChain.
Qetello
ZeroOps ke mokhoa oa phetoho ho li-automation tsa DevOps tse batlang ho felisa tlhoko ea ho kenella ka letsoho phepelong le taolong ea litsamaiso tsa software. Baemeli ba AI le boenjiniere ba maemo ba bapala karolo ea bohlokoa ts'ebetsong ea ZeroOps, 'me StackGen le LangChain li fana ka mokhoa o thehiloeng ho AI DevOps automation. Ka ho kenya ts'ebetsong moemeli oa AI o bonolo o sebelisa StackGen le LangChain, re ka iketsetsa mesebetsi e fapaneng e kang ho tsamaisa, ho hlahloba le ho beha leihlo. Litaelo / li-snippets tse ka holimo tsa 5-10 tse sebelisoang haholo bakeng sa StackGen le LangChain li boetse li fanoa, hammoho le pono ea meralo ea ZeroOps e sebelisang Chart.js.