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Kenyelletso
Sebopeho sa nts'etsopele ea software se ntse se fetoha ka potlako, ka ho amoheloa ho ntseng ho eketseha ha Artificial Intelligence (AI) le Machine Learning (ML) ho DevOps automation. AI-powered automation e ka thusa ho tsamaisa tšebetso e rarahaneng, ho ntlafatsa ts'ebetso, le ho fokotsa menyetla ea liphoso tsa batho. Sehloohong sena, re tla hlahloba mokhoa oa ho sebelisa DSPy le LangChain ho kenya ts'ebetsong mahlahana a tsamaisoang ke AI bakeng sa tlhahlobo ea sesosa le ho ntlafatsa ts'ebetso ea liphaephe tsa nts'etsopele ea software.
DSPy ke eng?
DSPy ke laebrari ea Python e lumellang batho ba ntlafatsang ho haha le ho tsamaisa li-workflows tsa AI-powered automation workflows. E fana ka moralo o bobebe le o tenyetsehang oa ho kopanya mefuta e fapaneng ea AI le ML, e e etsa khetho e nepahetseng bakeng sa automation ea DevOps.
LangChain ke eng?
LangChain ke laebrari ea Python e nolofalletsang batho ba ntlafatsang ho haha le ho romela baemeli ba AI ba puisano. E fana ka API e bonolo le e hlakileng bakeng sa ho theha baemeli ba ka utloisisang le ho arabela ho kenyelletso ea puo ea tlhaho.
Ho kenya tšebetsong liakhente tsa AI bakeng sa Tlhahlobo ea Motso oa Motso
Tlhahlobo ea sesosa sa metso ke karolo ea bohlokoa ea boiketsetso ba DevOps, kaha e thusa ho tseba lisosa tsa litaba le ho li thibela ho etsahala nakong e tlang. Ho kenya ts'ebetsong tlhahlobo ea sesosa sa motso o nang le matla a AI, re ka sebelisa DSPy ho theha phallo ea mosebetsi e kopanyang le LangChain.
Mona ke kakaretso ea boemo bo holimo ba tlhophiso ea mosebetsi:
- Pokello ea Lintlha: Bokella lintlha tse amehang ho tsoa mehloling e fapaneng, joalo ka litlaleho, metrics, le lifaele tsa tlhophiso.
- Tlhahiso ea Boitsebiso: Etsa esale pele lintlha tse bokeletsoeng ho li lokisetsa tlhahlobo.
- Koetliso ea Mohlala: Koetlisa mohlala oa ML mabapi le data e sebetsitsoeng pele ho tseba mekhoa le likamano.
- Tsamaiso ea Moetso: Kenya mofuta o koetlisitsoeng tšebetsong ea DSPy.
- ** Ho Kopana ha Moemeli **: Ho kopanya mosebetsi oa DSPy le moemeli oa LangChain ho nolofalletsa ho sebelisana ha puo ea tlhaho.
Mohlala oa Khoutu: Tlhahlobo ea Lebaka la Motso Phallo ea mosebetsi
kenya dspy joalo ka dsp
ho tsoa ho Langchain import Agent
# Hlalosa tšebetso ea DSPy
phallo ea mosebetsi = dsp.Motsamao oa mosebetsi(
lebitso = "root_cause_analysis",
mesebetsi=[
dsp.Task("data_collection", "Bokella lintlha ho tsoa ho li-log le metrics"),
dsp.Task("data_preprocessing", "Tsamaea esale pele data bakeng sa tlhahlobo"),
dsp.Task("model_training", "Koetlisa ML ea mohlala ho data e sebetsitsoeng pele"),
dsp.Task("model_deployment", "Beha mohlala o koetlisitsoeng oa tšebetso ea DSPy"),
],
)
# Hlalosa moemeli oa LangChain
moemeli = Moemeli(
lebitso = "root_cause_agent",
mohlala = "distilbert-base-uncased",
prompt="Motso oa bothata ke ofe?",
)
# Kopanya ts'ebetso ea DSPy le moemeli oa LangChain
workflow.add_agent(moemedi)
# Latela mokhoa oa ho sebetsa
workflow.run()
Ho kenya tšebetsong li-agents tsa AI bakeng sa Ntlafatso e Ntle
Ntlafatso ea katleho ke karolo e 'ngoe ea bohlokoa ea boiketsetso ba DevOps, kaha e thusa ho ntlafatsa lebelo le tlhahiso ea lipeipi tsa nts'etsopele ea software. Ho kenya ts'ebetsong ts'ebetso ea ts'ebetso e sebetsang hantle ea AI, re ka sebelisa DSPy ho theha mosebetsi oa ho sebetsa o kopanyang le LangChain.
Mona ke kakaretso ea boemo bo holimo ba tlhophiso ea mosebetsi:
- Pokello ea Lintlha: Bokella lintlha tse amehang ho tsoa mehloling e fapaneng, joalo ka litlaleho, metrics, le lifaele tsa tlhophiso.
- Tlhahiso ea Boitsebiso: Etsa esale pele lintlha tse bokeletsoeng ho li lokisetsa tlhahlobo.
- Koetliso ea Mohlala: Koetlisa mohlala oa ML mabapi le data e sebetsitsoeng pele ho tseba mekhoa le likamano.
- Ho Phahamisa Moetso: Kenya mohlala o koetlisitsoeng ho tsamaiso ea mosebetsi ea DSPy.
- ** Ho Kopana ha Moemeli **: Ho kopanya mosebetsi oa DSPy le moemeli oa LangChain ho nolofalletsa ho sebelisana ha puo ea tlhaho.
Mohlala oa Khoutu: Ts'ebetso e Atlehang ea Ts'ebetso
kenya dspy joalo ka dsp
ho tsoa ho Langchain import Agent
# Hlalosa tšebetso ea DSPy
phallo ea mosebetsi = dsp.Motsamao oa mosebetsi(
lebitso = "sebetsi_sebelisoa",
mesebetsi=[
dsp.Task("data_collection", "Bokella lintlha ho tsoa ho li-log le metrics"),
dsp.Task("data_preprocessing", "Tsamaea esale pele data bakeng sa tlhahlobo"),
dsp.Task("model_training", "Koetlisa ML ea mohlala ho data e sebetsitsoeng pele"),
dsp.Task("model_deployment", "Beha mohlala o koetlisitsoeng oa tšebetso ea DSPy"),
],
)
# Hlalosa moemeli oa LangChain
moemeli = Moemeli(
lebitso = "mosebetsi_sebetsi",
mohlala = "distilbert-base-uncased",
prompt="Nka ntlafatsa phaepe joang bakeng sa katleho e ntlafetseng?",
)
# Kopanya ts'ebetso ea DSPy le moemeli oa LangChain
workflow.add_agent(moemedi)
# Latela mokhoa oa ho sebetsa
workflow.run()
Top 5-10 Litaelo / Linotsoana tse Sebelisitsoeng ka ho Fetisisa
Mona ke tse ling tsa litaelo le likotlo tse sebelisoang haholo bakeng sa DSPy le LangChain:
DSPy
dsp.Workflow(lebitso="my_workflow", tasks=[...]): Theha mokhoa o mocha oa ho sebetsa oa DSPy.dsp.Task(lebitso="mosebetsi_waka", tlhaloso="Mosebetsi waka"): Theha mosebetsi o motjha ho TSPy workflow.mosebetsi.add_agent(moemedi): Eketsa moemedi wa LangChain tshebetsong ya DSPy.workflow.run(): Tsamaisa TSPy workflow.dsp.get_task_output(mosebetsi): Fumana tlhahiso ea mosebetsi ho DSPy workflow.
LangChain
Moemeli(lebitso = "my_agent", model="distilbert-base-uncased", prompt="My prompt"): Theha moemeli e mocha oa LangChain.moemeli.araba(ka potlako = "Molaetsa oa ka"): Fumana karabo ho tsoa ho moemeli oa LangChain.moemedi.add_context(moelelo = "Moelelo wa ka"): Eketsa moelelo ho moemedi wa LangChain.moemedi.remove_context(context = "Moelelo wa ka"): Tlosa moelelo ho tswa ho moemedi wa LangChain.agent.get_model(): Fumana mohlala oa motheo oa ML oa moemeli oa LangChain.
Ho bona pono
Mona ke pono ea tšebetso ea DSPy le LangChain e sebelisang Chart.js:
{
"type": "bar",
"data": {
"labels": ["Tlhahlobo ea Lebaka la Motso", "Katleho ea Katleho"],
"lintlha tsa boitsebiso": [
{
"label": "DSPy Workflow",
"data": [10, 20],
"backgroundColor": ["#4CAF50", "#FF9800"]
},
{
"label": "LangChain Agent",
"data": [5, 15],
"backgroundColor": ["#2196F3", "#009688"]
}
]
},
"likgetho": {
"sehlooho": {
"bontša": 'nete,
"text": "DSPy le LangChain Workflow"
},
"makala": {
"yAxes": [
{
"li-ticks": {
"beginAtZero": 'nete
}
}
]
}
}
}
Pontšo ena e bonts'a palo ea mesebetsi ts'ebetsong e 'ngoe le e' ngoe ea DSPy le palo ea likarabo ho tsoa ho moemeli e mong le e mong oa LangChain.
Qetello
Sehloohong sena, re ile ra hlahloba mokhoa oa ho sebelisa DSPy le LangChain ho kenya ts'ebetsong mahlahana a tsamaisoang ke AI bakeng sa tlhahlobo ea sesosa sa metso le ho ntlafatsa ts'ebetso ea liphaephe tsa nts'etsopele ea software. Re fane ka mehlala ea khoutu le lipono tse bonts'ang maikutlo, 'me re totobalitse tse ling tsa litaelo tse sebelisoang ka ho fetisisa le li-snippets tsa DSPy le LangChain. Ka ho latela tataiso ena, bahlahisi ba ka iketsetsa AI-powered automation workflows ba sebelisa DSPy le LangChain.