Kanko misali belebelew mɔgɔ sataw ye: Gafe min bɛ se ka kɛ ka ɲɛsin sɛgɛsɛgɛlikɛlaw ma ni Python ye

\u003ch2\u003eKan misalibaw mɔgɔ sataw ye: Gafe min bɛ se ka kɛ ka ɲɛsin sɛgɛsɛgɛlikɛlaw ma ni Python ye\u003c/h2\u003e \u003cp\u003eNin barokun bɛ hakilina nafamaw ni kunnafoniw di a barokun kan, ka dɛmɛ don dɔnniya tilali ni faamuyali la.\u003c/p\u003e \u003ch3\u003eTakeaways kunbabaw\u003c/h3\u003e \u003cp\u003eKalanbagaw bɛ se ka jigi ka tɔnɔ sɔrɔ:\u003c/p\u003e \u003cul\u003e \u003cli\u003eKunnafoni faamuyali kuncɛlen\u003c/li\u003e \u003cli\u003eBaarakɛcogo waleyali ani diɲɛ kɔnɔko lakika\u003c/li\u003e \u003cli\u003eDɔnnikɛlaw ka miiriyaw ni u sɛgɛsɛgɛli\u003c/li\u003e \u003cli\u003eKunnafoni kura donna sisan kow kan\u003c/li\u003e \u003c/ul\u003e \u003ch3\u003eNafa jiracogo\u003c/h3\u003e \u003cp\u003eKɔnɔkow ɲuman i n'a fɔ nin bɛ dɛmɛ don ka dɔnniya sabati ani ka kunnafonidi latigɛw yiriwa dakun suguya caman na.\u003c/p\u003e

Ɲininkali minnu bɛ kɛ tuma caman na

Yala ne mago bɛ ɔridinatɛri dɔnniya kɔkanna na walasa ka baara kɛ ni kanko misalibaw ye ni Python ye wa ?

A tɛ kɛ fewu . Kanko misalibaw kɛra fɛn ye min bɛ se ka sɔrɔ ka taa a fɛ sɛgɛsɛgɛlikɛlaw fɛ minnu bɔra yɔrɔ o yɔrɔ. Ni Python dɔnniya jɔnjɔn ye, i bɛ se ka baara kɛ ni gafemarayɔrɔw ni APIw ye minnu jɔra ka kɔn walasa ka LLMw don i ka baarakɛcogo la. O kun ye ka faamuyali sɔrɔ cogo min na ka ɲininkaliw kɛ karamɔgɔya la ani ka bɔliw kɔrɔ fɔ sanni ka misaliw jɔ ka bɔ fɛn fɔlɔ la. Plateforme minnu bɛ i n’a fɔ Mewayz, olu bɛ modulu 207 labɛnnenw di $19/mo la minnu bɛ kalan kɛcogo nɔgɔya ka tɛmɛn fɔlɔ kan.

LLMw ka baara kɛcogo jumɛnw ka ca kunnafonidilanw sɛgɛsɛgɛli la ?

A ka c’a la, sɛgɛsɛgɛlikɛlaw bɛ baara kɛ ni kanko misalibaw ye sɛbɛnniw lajɛcogo la, dusukunnataw sɛgɛsɛgɛli kama, kunnafoniw saniyacogo la, kunnafonidisɛbɛnw dilanni kama, ani sɛbɛnni baara segin-seginlenw kɛli otomatiki la. LLMw ka fisa ni hakilinaw bɔli ye kunnafonidilanw na minnu ma labɛn i n’a fɔ kiliyanw ka lajɛw, ɲininiw jaabiw, ani dɛmɛn tikitiw. U bɛ se fana ka dɛmɛ don SQL ɲininkaliw sɛbɛnni na, ka kode ɲɛfɔ, ani ka jago wajibiyalenw baara ka kɛ fɛɛrɛko ɲɛfɔli ye.

LLM fanga bɛ sɛgɛsɛgɛli baarabolodalenw boli, o musaka ye joli ye ?

Musow bɛ danfara ka kɛɲɛ ni modɛli ni hakɛ ye . Da wulilen modɛliw i n’a fɔ LLaMA bɛ se ka baara kɛ sigida la fu, k’a sɔrɔ API basigilen baarakɛminɛnw i n’a fɔ OpenAI bɛ wari sara token kelen na. Sɛgɛsɛgɛlikɛlaw ka baara fanba la, kalo musakaw bɛ daminɛ dɔrɔmɛ damadɔ la ka se dɔrɔmɛ bi duuru jukɔrɔ. Mewayz bɛ donyɔrɔ dɔ di min sɔngɔ ka nɔgɔn $19/mo ni se bɛ se ka modulu 207 sɔrɔ, o b’a kɛ fɛɛrɛ ye min musaka ka dɔgɔ ekipuw bolo minnu bɛ LLM jɛ-ka-baara sɛgɛsɛgɛ k’a sɔrɔ u ma wariba don fɛnsɔrɔsiraw la.

Ne ka kan ka Python gafemarayɔrɔ jumɛnw dege fɔlɔ baara kɛli la ni LLMw ye ?

A daminɛ ni OpenAI Python kliyan ye API-based models kama, LangChain ka baarakɛcogo caman jɔ, ani Hugging Face Transformers ka baara kɛ ni open-source models ye. Pandaw dɔnni kunnafonidilanw labɛnni kama ani API weleli ɲininiw fana nafa ka bon. Nin gafemarayɔrɔ jɔnjɔn ninnu bɛ sɛgɛsɛgɛlikɛlaw ka baarakɛcogo nafama fanba ɲɛfɔ ani sɛbɛnw ni sigidamɔgɔw ka dɛmɛ caman bɛ u bolo walasa k’aw dɛmɛ ka baara daminɛ joona.