##Chiyambi
M'mawonekedwe amakono othamanga kwambiri a digito, machitidwe a mapulogalamu akukhala ovuta kwambiri, ndi kufunikira kowonjezereka kwa makina ogwira ntchito ndi oimba. Kuphatikiza kwa Artificial Intelligence (AI) ndi Machine Learning (ML) kwasintha momwe timapangira ndi kukhazikitsa mapulogalamu apulogalamu. Komabe, pamene machitidwewa akukula mukukula komanso zovuta, kuyang'anira kumakhala ntchito yovuta.
Apa ndipamene LangChain ndi DSPy amayamba kusewera. LangChain ndi laibulale ya Python yomwe imathandizira kupanga mapulogalamu a mapulogalamu oyendetsedwa ndi AI, pamene DSPy ndi ndondomeko ya Rust yomanga mapangidwe a mapulogalamu owopsa komanso odziimira okha. M'nkhaniyi, tidzayang'ana dziko la LangChain ndi DSPy, ndikufufuza momwe tingapangire ndikugwiritsanso ntchito mapulogalamu opangira mapulogalamu owopsa komanso odziimira okha pogwiritsa ntchito AI agents, LangChain, ndi DSPy kuti azitha kuyendetsa bwino komanso kuyimba m'mapulogalamu akuluakulu.
LangChain ndi chiyani?
LangChain ndi laibulale ya Python yomwe imapereka zida ndi ma API opangira makina opangira mapulogalamu a AI. Zimathandizira opanga kupanga ma AI ovuta kugwira ntchito, kuphatikiza mitundu ingapo ya AI, ndikusinthiratu ntchito pogwiritsa ntchito API yosavuta komanso yodziwika bwino. LangChain imathandizira mitundu yambiri ya AI, kuphatikiza chilankhulo chachilengedwe (NLP), masomphenya apakompyuta, ndi kuphunzira kulimbikitsa.
Zina mwazinthu zazikulu za LangChain ndi izi:
- AI Workflow Management: LangChain imapereka API yosavuta komanso yodziwikiratu popanga zovuta za AI zoyenda, zomwe zimathandiza otukula kuphatikiza mitundu ingapo ya AI ndikusinthiratu ntchito.
- Kuphatikizika Kwachitsanzo: LangChain imathandizira mitundu yambiri ya AI, kuphatikiza NLP, masomphenya apakompyuta, ndi kuphunzira kulimbikitsa.
- **Automation **: LangChain imathandizira omanga kupanga ntchito pogwiritsa ntchito mitundu ya AI, kuchepetsa kufunikira kothandizira pamanja.
DSPy ndi chiyani?
DSPy ndi chimango chozikidwa pa dzimbiri chomangira ma scalable and autonomous software architectures. Amapereka zida ndi ma API opangira mapulogalamu ovuta, kuphatikizapo machitidwe oyendetsedwa ndi AI. DSPy idapangidwa kuti izigwira ntchito zazikulu zamapulogalamu, zomwe zimapereka zinthu monga:
- Scalability: DSPy idapangidwa kuti izigwira ntchito zazikuluzikulu zamapulogalamu, zomwe zimapereka zinthu monga kukweza kopingasa komanso kusanja katundu.
- **Kudziyimira pawokha **: DSPy imathandizira opanga kupanga mapulogalamu odziyimira pawokha, kuchepetsa kufunikira kwa kulowererapo pamanja.
- Kuphatikizika kwa AI: DSPy imapereka ma API angapo ophatikizira mitundu ya AI, kupangitsa opanga mapulogalamu kupanga mapulogalamu oyendetsedwa ndi AI.
Kupanga Zomangamanga Zamapulogalamu Okhazikika komanso Odziyimira pawokha ndi LangChain ndi DSPy
Kupanga mapangidwe opangira mapulogalamu owopsa komanso odziyimira pawokha pogwiritsa ntchito LangChain ndi DSPy, tifunika kutsatira njira yapang'onopang'ono. Nazi malingaliro apamwamba a ndondomekoyi:
- ** Tanthauzirani Zofunikira **: Dziwani zofunikira za pulogalamu ya mapulogalamu, kuphatikizapo ntchito zomwe zimayenera kukhala zokha komanso zitsanzo za AI zomwe ziyenera kuphatikizidwa.
- Sankhani Mitundu ya AI: Sankhani mitundu ya AI yomwe idzagwiritsidwe ntchito mu pulogalamu ya mapulogalamu, poganizira zinthu monga kulondola, scalability, ndi kusamalira.
- ** Pangani ndondomeko ya AI Workflow **: Konzani kayendetsedwe ka ntchito ya AI pogwiritsa ntchito LangChain, kuphatikiza mitundu yambiri ya AI ndi ntchito zodzipangira nokha.
- ** Gwiritsani ntchito AI Workflow **: Gwiritsani ntchito kayendedwe ka AI pogwiritsa ntchito LangChain, pogwiritsa ntchito zitsanzo za AI ndi ma API osankhidwa.
- Phatikizani DSPy: Phatikizani DSPy mu dongosolo la mapulogalamu, kupereka zinthu monga scalability ndi kudzilamulira.
- **Yesani ndi Kutumiza **: Yesani ndikugwiritsa ntchito pulogalamu ya mapulogalamu, kuonetsetsa kuti ikukwaniritsa zofunikira ndipo ndi yowopsa komanso yodziimira.
Nambala Yachitsanzo: Kugwiritsa ntchito AI Workflow ndi LangChain
Nayi chitsanzo cha code block chomwe chikuwonetsa momwe mungagwiritsire ntchito kayendedwe ka AI pogwiritsa ntchito LangChain:
import langchain
kuchokera ku langchain.chains kuitanitsa LLMChain
# Fotokozani mitundu ya AI
nlp_model = langchain.load_model("nlp_model")
cv_model = langchain.load_model("cv_model")
# Fotokozani mayendedwe a AI
ntchito = LLMChain (
input_model=nlp_model,
output_model=cv_model,
prompt="Unikani mawuwo ndikupanga chidule"
)
# Yambitsani ntchito ya AI
result = workflow.run("Ichi ndi chitsanzo")
# Sindikizani zotsatira
sindikiza (zotsatira)
Chotchinga ichi chikuwonetsa momwe mungatanthauzire kayendedwe ka AI pogwiritsa ntchito LangChain, kuphatikiza mitundu ingapo ya AI ndi ntchito zodzichitira ngati pakufunika.
Apamwamba 5-10 Omwe Amagwiritsidwa Ntchito Kwambiri / Zidutswa
Nawa malamulo / zidule za 5-10 zomwe zimagwiritsidwa ntchito kwambiri pa LangChain ndi DSPy:
- langchain.load_model(): Imanyamula chitsanzo cha AI pogwiritsa ntchito LangChain.
nlp_model = langchain.load_model("nlp_model")
- LLMChain(): Imatanthawuza kayendedwe ka AI pogwiritsa ntchito LangChain.
ntchito = LLMChain (
input_model=nlp_model,
output_model=cv_model,
prompt="Unikani mawuwo ndikupanga chidule"
)
- workflow.run (): Imayendetsa kayendedwe ka AI pogwiritsa ntchito LangChain.
result = workflow.run("Ichi ndi chitsanzo")
- dspy.init(): Imayambitsa DSPy.
dspy.init()
- dspy.create_agent(): Amapanga wothandizira AI pogwiritsa ntchito DSPy.
wothandizira = dspy.create_agent("nlp_model")
- dspy.create_workflow(): Imatanthawuza kayendedwe ka AI pogwiritsa ntchito DSPy.
ntchito = dspy.create_workflow(
input_model=nlp_model,
output_model=cv_model,
prompt="Unikani mawuwo ndikupanga chidule"
)
- dspy.run_workflow(): Imayendetsa kayendedwe ka AI pogwiritsa ntchito DSPy.
zotsatira = dspy.run_workflow(ntchito, "Ichi ndi chitsanzo")
- langchain.chain (): Imatanthawuza mndandanda wa zitsanzo za AI pogwiritsa ntchito LangChain.
unyolo = langchain.chain(
nlp_model,
cv_model,
prompt="Unikani mawuwo ndikupanga chidule"
)
- langchain.run_chain(): Amayendetsa mndandanda wa zitsanzo za AI pogwiritsa ntchito LangChain.
zotsatira = langchain.run_chain(chain, "This is a sample text")
- dspy.create_cluster(): Amapanga gulu la othandizira a AI pogwiritsa ntchito DSPy.
cluster = dspy.create_cluster("nlp_model")
# Kuwona
Nayi chithunzithunzi cha kayendedwe ka AI pogwiritsa ntchito Chart.js:
{
"type": "bar",
"data": {
"labels": ["NLP Model", "CV Model", "AI Workflow"],
"ma dataset": [
{
"label": "Kulondola kwachitsanzo",
"Deta": [0.9, 0.8, 0.95],
"backgroundColor": ["#FF6384", "#36A2EB", "#FFCE56"]
}
]
},
"zosankha": {
"mutu": {
"kuwonetsa": zoona,
"text": "Kulondola kwa Mayendedwe a AI"
},
"miyeso": {
"yAxes": [
{
"nkhupakupa": {
"beginAtZero": zoona
}
}
]
}
}
}
Kuwona uku kukuwonetsa kulondola kwa mtundu wa NLP, mtundu wa CV, ndi kayendedwe ka AI.
##Mapeto
M'nkhaniyi, tidasanthula dziko la LangChain ndi DSPy, zida ziwiri zamphamvu zomangira ma scalable and autonomous software architectures pogwiritsa ntchito othandizira a AI. Tidapanga ndikukhazikitsa mapulogalamu owopsa komanso odziyimira pawokha pogwiritsa ntchito LangChain ndi DSPy, kuwonetsa momwe mungaphatikizire mitundu ingapo ya AI ndikusinthiratu ntchito pogwiritsa ntchito API yosavuta komanso yodziwika bwino. Tidaperekanso zida zapamwamba za 5-10 zomwe zimagwiritsidwa ntchito kwambiri pa LangChain ndi DSPy, komanso mawonekedwe akuyenda kwa AI pogwiritsa ntchito Chart.js. Ndi LangChain ndi DSPy, opanga mapulogalamu amatha kupanga mapulogalamu oyendetsa bwino komanso owopsa a AI omwe amakwaniritsa zosowa zamapulogalamu akuluakulu.