OkulandelayoUmhlahlandlela olandelayo
I-Prompt Engineer Njengomsebenzi Womsebenzi
Umphakathi
UMHLAHLANDLELA Wobuchwepheshe
Ukuze ube unjiniyela we-AI, funda i-Python (futhi ngokufanelekile i-TypeScript), funda ukubiza amamodeli olimi amakhulu ama-API, bese wakha izinhlelo zokusebenza eziqinile ngokuqhubekayo ngokukhiqiza okunamandla okubuyiswa, ukubiza amathuluzi nokuhlola okuhlelekile, futhi ukushicilele njengamaphrojekthi wephothifoliyo.
Ubunjiniyela be-AI bumayelana nokwakha imikhiqizo phezu kwamamodeli ayisisekelo akhona kunokuqeqesha amamodeli kusukela ekuqaleni. Lokho kuyenza ibe ngomunye wemizila efinyeleleka kakhulu emsebenzini we-AI kubathuthukisi be-software.
Igama elithi "unjiniyela we-AI" laduma endabeni ka-2023 ka-Shawn Wang (owaziwa nge-swyx), "The Rise of the AI Engineer." Ichaza onjiniyela abakha izinhlelo zokusebenza phezu kwamamodeli ayisisekelo. Indima iyahluka kusukela kunjiniyela wokufunda womshini, oqeqesha futhi akhiphe amamodeli, kanye nakusosayensi wedatha, ogxile ekuhlaziyeni nasezibaloni. Umhlahlandlela osebenzayo unezigaba eziyisikhombisa. 1. Izisekelo zokuhlela. Funda i-Python, i-git, i-HTTP ne-JSON, okuguquguqukayo kwemvelo kanye ne-SQL eyisisekelo. I-TypeScript isiza ekwakheni ukuxhumana kwewebhu. 2. Okuyisisekelo kwe-LLM. Funda amathokheni, amawindi womongo, izinga lokushisa, amanani nokuthi kungani amamodeli enza izinto. Shayela ama-API kusuka kubahlinzeki abafana ne-OpenAI, Anthropic kanye ne-Google, futhi usebenzise amamodeli anesisindo esivulekile endaweni ngethuluzi elifana ne-Ollama. Funda ukusakaza nokukhipha okuhlelekile. 3. Ukugqugquzela. Bhala imiyalelo ecacile, sebenzisa izibonelo futhi usebenzise amafomethi okukhiphayo ngama-schema. 4. Ukubuyiswa-okungathandwa kwabathelisi esikubona (RAG). Funda ukuhlanganisa, ukushumeka kanye nosesho lwe-vector, usesho oluxubile olungeza ukufanisa amagama angukhiye, ukuhlela kabusha kanye nezingcaphuno. 5. Amathuluzi nama-ejenti. Funda ukushaya umsebenzi, amaluphu ezinyathelo eziningi kanye ne-Model Context Protocol, i-Anthropic evamile evulekile eyethulwe ngasekupheleni kuka-2024 yokuxhuma amamodeli kumathuluzi nedatha. Engeza imingcele nemingcele. 6. Ukuhlola nokubonakala. Yakha amasethi okuhlola, sebenzisa amagreda azenzakalelayo, landelela isicelo ngasinye futhi ubambe ukuhlehla ngaphambi kokuthumela. 7. Ukukhiqiza. Yakha ama-API (isibonelo nge-FastAPI), bese uphatha ukugcinwa kwesikhashana, imikhawulo yesilinganiso, ukulawula izindleko nokuphepha, ikakhulukazi umjovo osheshayo. Ukushuna kahle, i-PyTorch kanye nethiyori yokufunda komshini kuyasiza kamuva, kodwa akudingekile ukuthi kuqale. Kunemibono emibili eyiphutha evamile. Awudingi i-PhD noma izibalo ezithuthukile ukuze uqale. Uyabudinga ubunjiniyela besoftware obuqinile, ngoba ukwehluleka okuningi izimbungulu ezijwayelekile, izinkinga zedatha noma izivivinyo ezingekho. Amafreyimu afana ne-LangChain ayakhethwa. Ukufunda ama-API angahluziwe kuqala kwenza kube lula kakhulu ukulungisa iphutha kamuva noma yiluphi uhlaka.
Izinqumo zezakhiwo ziqhuba ukusebenza kanye nezindleko zokusebenza iminyaka.
Imfundo yobuchwepheshe isiza amaqembu ukuthi akhethe isitaki esifanele, hhayi nje esisha.
Izinketho ezingcono zobunjiniyela zinciphisa izehlakalo ezinokwethenjelwa ekukhiqizeni.
Ubunjiniyela be-AI busashintsha ngokushesha. Amakhono emodeli, izintengo namathuluzi ashintsha njalo, ngakho okuyisisekelo kuhlala isikhathi eside kunanoma yiluphi uhlaka oluthile: idizayini yesofthiwe ehlanzekile, ukuphatha idatha ngokucophelela, isiyalo sokuhlaziya kanye nokuqwashisa ngokuvikeleka. Ama-ejenti athatha izinyathelo eziningi kanye nesofthiwe yokulawula athola ukunakwa okwengeziwe, okuphakamisa ukubaluleka kokuhlola, ukuqapha kanye nedizayini yemvume. Eminye imisebenzi edinga amapayipi angokwezifiso namuhla ingase ifakwe kumamodeli wenkundla. Onjiniyela abakwazi ukuchaza ikhwalithi, bayilinganise futhi bathumele amasistimu athembekile kungenzeka bahlale bebalulekile noma ngabe amathuluzi angaba yini. Phatha noma yimuphi umgwaqo njengesiqalo ukuze ubuyekeze njalo ezinyangeni ezimbalwa.
Iphrojekthi eyisiqalo: iskripthi esithumela i-athikili enamathiselwe ku-LLM API futhi sibuyisele i-JSON enesihloko, isifinyezo namaphoyinti amathathu ayinhloko, ahlolwe ngokumelene ne-schema ngaphambi kokuba silondolozwe.
Iphrojekthi yokuthola: i-chatbot ephendula imibuzo mayelana nemithetho yedolobha yasesidlangalaleni. Ihlukanisa ama-PDF abe izingcezu, igcine okushumekiwe ku-Postgres nge-pgvector, futhi icaphuna isigaba esingemuva kwempendulo ngayinye.
Umsizi wokushayela amathuluzi ofunda isicelo, obiza i-API yesimo sezulu kanye ne-API yekhalenda, futhi aphakamise ishejuli, enokuhlolwa okuhlanganisa okwenzekayo uma i-API iphelelwa yisikhathi.
Amahhanisi okuhlola: Imibuzo engu-100 enelebula ye-chatbot yomthetho kamasipala ebonisa ukuthi isigaba esifanele sibuyisiwe yini nokuthi impendulo ihlala ithembekile yini kuso, sebenza ngokuzenzakalelayo kulo lonke ushintsho lwekhodi.
Ukuthuthukisa ibhentshimakhi eyodwa kungafihla ubuthakathaka obubanzi besistimu.
Izindleko zengqalasizinda nezokulungisa zivame ukubukelwa phansi.
Izikhala zokuphepha nokubonakala zingakhula njengoba izinhlelo ziba nzima kakhulu.
Chaza ukubambezeleka, ikhwalithi, nezindleko ezihlosiwe ngaphambi kokuqaliswa.
Ibhentshimakhi ngaphansi komthwalo wangempela nezimo zedatha.
Ukuqapha amathuluzi amaphutha, ukukhukhuleka, nomthelela wabasebenzisi.
Lungiselela izindlela zokuhlehlisa nezigameko ngaphambi kokukala.
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Ukuze ube unjiniyela we-AI, funda i-Python (futhi ngokufanelekile i-TypeScript), funda ukubiza amamodeli olimi amakhulu ama-API, bese wakha izinhlelo zokusebenza eziqinile ngokuqhubekayo ngokukhiqiza okunamandla okubuyiswa, ukubiza amathuluzi nokuhlola okuhlelekile, futhi ukushicilele njengamaphrojekthi wephothifoliyo. Ubunjiniyela be-AI bumayelana nokwakha imikhiqizo phezu kwamamodeli ayisisekelo akhona kunokuqeqesha amamodeli kusukela ekuqaleni. Lokho kuyenza ibe ngomunye wemizila efinyeleleka kakhulu emsebenzini we-AI kubathuthukisi be-software.
Izikhungo zobunjiniyela be-AI emikhiqizweni yokwakha enamamodeli akhona ngama-API, ukubuyisa, amathuluzi nokuhlola. Amamodeli okuqeqesha ngokuvamile ayisizinda sikanjiniyela we-ML.
Ukuqonda ukuthi kwenzekani ngaphansi kwezifinyezo kukuvumela ukuthi uhlole izinkinga lapho uhlaka lusebenza ngokungalindelekile.
Umhlahlandlela uchaza i-MCP njengezinga elivuliwe elethulwe yi-Anthropic ngasekupheleni kuka-2024 yokuxhuma amamodeli kumathuluzi angaphandle kanye nemithombo yedatha.
Ukungenisa kulungiselela isisekelo solwazi ngokuhlukanisa amadokhumenti abe izingcezu, ukuwaguqula abe okushumekiwe futhi agcinwe ngemethadatha ukuze abuyiswe kamuva.
Ukusesha kwe-Hybrid kuhlanganisa ukufana kwe-semantic kusuka ekushumekeni nokumatanisa kwamagama aqondile, okusiza ngamagama, amakhodi namagama athile.
Qhubeka ufunda
Imihlahlandlela eyengeziwe yalesi sihloko
OkulandelayoUmhlahlandlela olandelayo
I-Prompt Engineer Njengomsebenzi Womsebenzi
Umphakathi