Kenyelletso
Sebakeng sa boenjineri ba software, DevOps automation e fetohile karolo ea bohlokoa ea ho netefatsa hore ts'ebetso e tsamaisoa hantle, e beha leihlo le tlhokomelo ea lits'ebetso. Leha ho le joalo, ha ho rarahana ha litsamaiso tsa sejoale-joale tsa software ho ntse ho hola, tlhokahalo ea ho kenella ka letsoho le tlhokomelo ea batho e ntse e eketseha. Mona ke moo mohopolo oa ZeroOps o kenang - pono moo baemeli ba AI ba hlophisang le ho iketsetsa mesebetsi e rarahaneng, ba lokolla batho ba ntlafatsang batho mesebetsing e tloaelehileng le e pheta-phetoang.
Sengoliloeng sena, re tla hlahloba mateano a AI, boenjiniere ba software, le automation ea DevOps ho fihlela ZeroOps. Re tla hlahloba karolo ea LangChain le DSPy ho nolofalletsa pono ena le ho fana ka mehlala e sebetsang ea hore na mekhoa ena ea theknoloji e ka sebelisoa joang ho iketsetsa mesebetsi e rarahaneng.
Bothata ba Traditional DevOps Automation
Traditional DevOps automation e itšetlehile haholo ka ho ngola le ho hlophisoa ka letsoho ha lisebelisoa tse kang Jenkins, Ansible, le Docker. Le hoja lisebelisoa tsena li 'nile tsa thusa haholo ho ntlafatsa ts'ebetso ea nts'etsopele le ts'ebetsong, hangata li hloka tsebo e kholo le nako ea ho theha le ho boloka.
Ho feta moo, ha lits'ebetso li ntse li rarahana le ho ajoa, tlhoko ea tlhahlobo ea nako ea nnete le maikutlo e ba bohlokoa le ho feta. Mona ke moo baemeli ba AI ba kenang teng - ba ka sekaseka datha ho tsoa mehloling e fapaneng, ba tseba mekhoa, 'me ba etsa liqeto ka boikemelo.
Ho phahama ha Baemeli ba AI ho DevOps Automation
Baemeli ba AI ba na le monyetla oa ho fetola li-automation tsa DevOps ka ho fana ka tlhahlobo ea nako ea nnete, ho lemoha ka mokhoa o sa tloaelehang, le ho etsa liqeto ka boiketsetso. Ka ho sebelisa li-algorithms tsa ho ithuta ka mochini le ts'ebetso ea puo ea tlhaho, baemeli ba AI ba ka sekaseka lintlha, metrics, le mehloli e meng ea data ho tseba mathata a ka bang teng pele a ka ba mahlonoko.
LangChain le DSPy ke litheknoloji tse peli tse ka pele ho phetoho ena. LangChain ke laebrari ea Python e etsang hore ho thehoe baemeli ba AI ba puisano, athe DSPy ke laebrari ea Rust e fanang ka sebopeho se phahameng sa ho haha le ho tsamaisa mehlala ea AI.
LangChain: Laeborari ea Python bakeng sa Baemeli ba AI ba Moqoqo
LangChain ke laebrari ea Python e thusang ho theha mahlahana a AI a puisano. E fana ka API e bonolo le e hlakileng ea ho aha le ho tsamaisa li-chatbots, bathusi ba lentsoe, le lihokelo tse ling tsa moqoqo.
E 'ngoe ea likarolo tsa bohlokoa tsa LangChain ke bokhoni ba eona ba ho kopanya le mefuta e sa tšoaneng ea AI, ho kenyelletsa le mehlala ea lipuo, li-graph tsa tsebo, le lifate tsa liqeto. Sena se nolofalletsa batho ba ntlafatsang ho theha lipuisano tse rarahaneng le ho etsa liqeto tse ka sebelisoang habonolo le ho hlokomeloa.
Mona ke mohlala oa mokhoa oa ho theha chatbot e bonolo u sebelisa LangChain:
import langchain
# Theha mofuta oa puo
mohlala = langchain.LMModel("distilbert-base-uncased")
# Theha graph ea tsebo
kerafo = langchain.KnowledgeGraph("my_graph")
# Theha chatbot
chatbot = langchain.Chatbot(mohlala, kerafo)
# Hlalosa phallo ea moqoqo
phalla = [
{"input": "hello", "output": "hello!"},
{"input": "ho jwang", "output": "Ke phela hantle, kea leboha!"},
]
# Kenya chatbot
chatbot.deploy(phallo)
DSPy: Laeborari ea Rust bakeng sa ho Aha le ho Beha Mehlala ea AI
DSPy ke laebrari ea Rust e fanang ka sebopeho sa maemo a holimo bakeng sa ho aha le ho tsamaisa mefuta ea AI. E thusa bahlahisi ho theha le ho koetlisa mekhoa ea ho ithuta ea mochini ba sebelisa li-algorithms le meralo e fapaneng, ho kenyeletsoa TensorFlow le PyTorch.
E 'ngoe ea likarolo tsa bohlokoa tsa DSPy ke bokhoni ba eona ba ho hokahanya le mehloli e fapaneng ea data, ho kenyeletsoa li-database, li-API, le litsamaiso tsa lifaele. Sena se nolofalletsa batho ba ntlafatsang ho etsa liphaephe tse rarahaneng tsa data le li-workflows tse ka sebelisoang habonolo le ho hlokomeloa.
Mona ke mohlala oa mokhoa oa ho etsa mohlala o bonolo oa ho ithuta mochini o sebelisa DSPy:
sebelisa dspy::{Model, Dataset};
// Theha pokello ea data
tlohella dataset = Lethathamo la datha:: le lecha("my_dataset");
// Bopa mohlala
tlohella mohlala = Mohlala:: o mocha("my_model");
// Koetlisa mohlala
mohlala.terena(sephutheloana sa boitsebiso);
// Hlahisa mohlala
mohlala.sebedisa();
Ho hlophisa baemeli ba AI ka LangChain le DSPy
Kaha joale re bone hore na LangChain le DSPy li ka sebelisoa joang ho theha liakhente tsa AI tsa puisano le mehlala ea ho ithuta ka mochini, a re hlahlobeng hore na mahlale ana a ka sebelisoa joang ho hlophisa liakhente tsa AI.
E 'ngoe ea liqholotso tsa bohlokoa ho li-automation tsa DevOps ke ho kopanya lisebelisoa le lits'ebeletso tse ngata ho theha tšebetso e kopaneng le e ikemetseng. Mona ke moo LangChain le DSPy li kenang teng - li fana ka sebopeho se phahameng sa ho haha le ho tsamaisa mahlahana a AI a ka kopanyang le lisebelisoa le litšebeletso tse sa tšoaneng.
Mona ke mohlala oa mokhoa oa ho hlophisa liakhente tsa AI u sebelisa LangChain le DSPy:
import langchain
kenya dspy
# Theha mofuta oa puo
mohlala = langchain.LMModel("distilbert-base-uncased")
# Theha graph ea tsebo
kerafo = langchain.KnowledgeGraph("my_graph")
# Theha chatbot
chatbot = langchain.Chatbot(mohlala, kerafo)
# Theha mofuta oa ho ithuta oa mochini
ml_model = dspy.Model("my_model")
# Hlalosa phallo ea moqoqo
phalla = [
{"input": "hello", "output": "hello!"},
{"input": "ho jwang", "output": "Ke phela hantle, kea leboha!"},
]
# Kenya chatbot
chatbot.deploy(phallo)
# Koetlisa mokhoa oa ho ithuta mochini
ml_model.train("my_dataset")
# Kenya mofuta oa ho ithuta oa mochini
ml_model.deploy()
Top 5-10 Litaelo / Linotsoana tse Sebelisitsoeng ka ho Fetisisa
Mona ke tse 5-10 tse sebelisoang ka ho fetesisa litaelo/likotoana tsa LangChain le DSPy:
langchain.LMModel("distilbert-base-uncased"): E etsa mofuta oa puo ho sebelisoa algorithm ea DistilBERT.langchain.KnowledgeGraph("my_graph"): E etsa kerafo ea tsebo ka ho sebelisa kerafo e boletsoeng.langchain.Chatbot(mohlala, kerafo): E theha chatbot ka ho sebelisa mohlala oa puo o boletsoeng le kerafo ea tsebo.dspy.Model("my_model"): E etsa mofuta oa ho ithuta oa mochini ka mokhoa o boletsoeng.dspy.Dataset("my_dataset"): E etsa pokello ea lintlha ka ho sebelisa dataset e boletsoeng.model.train(dataset): Koetlisa mokhoa oa ho ithuta oa mochini o sebelisa pokello ea lintlha e boletsoeng.model.deploy(): E sebelisa mokhoa oa ho ithuta oa mochini.chatbot.deploy(flow): E kenya chatbot ka mokhoa o boletsoeng oa puisano.graph.add_node("node1", "node2"): E eketsa node ho kefo ea tsebo.graph.add_edge("node1", "node2"): E eketsa ntlha ho kerafo ea tsebo.
Ho bona pono
Mona ke pono ea meralo ea LangChain le DSPy e sebelisang Chart.js:
{
"type": "bar",
"data": {
"labels": ["LangChain", "DSPy"],
"lintlha tsa boitsebiso": [
{
"label": "Moqoqo oa AI Agents",
"data": [10, 5],
"backgroundColor": ["#4CAF50", "#FF9800"]
},
{
"label": "Mehlala ea ho Ithuta Mochine",
"data": [5, 10],
"backgroundColor": ["#2196F3", "#9C27B0"]
}
]
},
"likgetho": {
"sehlooho": {
"bontša": 'nete,
"text": "LangChain le DSPy Architecture"
},
"tšōmo": {
"pontšo": 'nete
}
}
}
Pontšo ena e bonts'a ho ajoa ha liakhente tsa AI tsa puisano le mehlala ea ho ithuta ka mochini pakeng tsa LangChain le DSPy.
Qetello
Sengoliloeng sena, re hlahlobile mateano a AI, boenjiniere ba software, le automation ea DevOps ho fihlela ZeroOps. Re bone hore na LangChain le DSPy li ka sebelisoa joang ho theha liakhente tsa AI tsa puisano le mehlala ea ho ithuta ka mochini, le hore na mahlale ana a ka sebelisoa joang ho hlophisa mahlahana a AI.
Ka ho sebelisa matla a AI le boiketsetso, bahlahisi ba ka theha phallo e rarahaneng le e sebetsang e ka tsamaisoang habonolo le ho hlokomeloa. Ho sa tsotellehe hore na u moqapi ea nang le phihlelo kapa u sa tsoa qala, LangChain le DSPy li fana ka sebopeho se matla le se utloahalang bakeng sa ho haha le ho tsamaisa baemeli ba AI.
Ha lefats'e la boenjiniere ba software le ntse le tsoela pele ho fetoha, tlhokahalo ea boits'oaro le AI e tla tsoela pele ho hola. Ka ho amohela mahlale ana, bahlahisi ba ka theha lits'ebetso tse sebetsang hantle, tse scalable, le tse ts'oarehang tse ka ikamahanyang le maemo le maemo a fetohang.
Sehloohong se latelang, re tla hlahloba lihlooho tse tsoetseng pele ho LangChain le DSPy, ho kenyelletsa le mokhoa oa ho kopanya le lisebelisoa le lits'ebeletso tse ling, le mokhoa oa ho etsa mekhoa ea tloaelo ea AI le ho phalla ha mosebetsi. Lula u mametse!