Ungayiklama kanjani i-Age Agent yami yokuqala

Amasistimu anikwe amandla amamodeli amakhulu wezilimi (LLMS), asheshe aqinisekise ukuthi sakha kanjani isoftware futhi sixazulule izinkinga. Uma iboshelwe i-Chatbot isebenzisa amacala ancishisiwe noma isizukulwane esiqukethwe, manje vele amathuluzi okuthola ama-orchestrating, futhi abonisana ngemininingwane ehlelekile, kanye nokuhamba ngokuzenzakalela kokuhamba phambili kwezizinda ezinjengezokuxhaswa kwamakhasimende, ubunjiniyela bezezimali, nocwaningo lwezezimali.

Ukusuka ocwaningweni ezisetshenzisweni zezimboni, ama-ejenti we-AI kanye nokusebenzisana kwama-alent multi akhombisa hhayi kuphela amandla amaningi ngamandla ezindlu angashintshanisa futhi asheshise imisebenzi eminingi yansuku zonke. Umsebenzi wakamuva ngokubambisana e-Multi-Agent (Autogpt, Langgraph), Ukubonisana Kwamandla Okungathandeki (I-Action, Toolformer), kanye ne-Pydantic-AI, i-Guardrails) futhi ishesha kangakanani izoshintsha ukuthuthukiswa kwesoftware kanye nezinye izindawo eziseduze.

Ama-Agents ai ayavela abasizi abajwayelekile Iyakwazi ukuhlela, ukucabanga, kanye nokuxhumana ne-API nedatha – ngokushesha kunalokho esingakucabanga. Ngakho-ke uma uhlela ukwandisa izinhloso zakho zomsebenzi njengonjiniyela we-AI, usosayensi wedatha noma unjiniyela wesoftware, cabanga ukuthi ama-work ai Agents kungenzeka ukuthi avele abe yikharikhulamu yakho.

Kulokhu okuthunyelwe, ngizohamba kuwe:

• Kanjani Khetha i-LLM efanele Ngaphandle kokulahlekelwa ubuhlakani bakho (noma amathokheni)
• Yimaphi amathuluzi okufanele akhethe ngokuya nge-vibe yakho (kanye nezakhiwo)
• Ungaqiniseka kanjani ukuthi umenzeli wakho Ayihleli indlela yayo engena ezingxabanweni

Khetha imodeli yakho (noma amamodeli) ngobuhlakani

Yebo Ngiyazi. Uyilangazelela ukungena kwikhodi. Mhlawumbe usuvele uvule i-colob, engenisiwe iLangchain, futhi ehlebezele ukuvela okumnandi llm.predict (). Kepha bamba, ngaphambi kokuthi uqonde indlela yakho e-Flaky prototype, ake sixoxe ngokuthile okubaluleke kakhulu: Ukukhetha i-LLM yakho (ngenhloso!).

Ukukhetha kwakho imodeli kuyisisekelo. Kubunjwa lokho i-ejenti yakho ye-AI engenza, kushesha kangakanani ukwenza, malini izindleko. Futhi masingakhohlwa, uma usebenza nedatha yokuphathelene, ubumfihlo buseyinto enkulu kakhulu. Ngakho-ke ngaphambi kokuyifaka efwini, mhlawumbe uyigijime amaqembu akho okuphepha kanye nedatha kuqala.

Ngaphambi kokwakha, ukuvumelanisa ukukhetha kwakho kwe-LLM (s) ngezidingo zohlelo lwakho lokusebenza. Amanye ama-ejenti angachuma ngemodeli eyodwa enamandla; abanye badinga ukufakwa ngaphansi kwama-orchestaration phakathi kwabakhethekile.

Izinto ezibalulekile okufanele uzicabangele ngenkathi uklama i-agent yakho ye-AI:

• Uyini umgomo wale menti?
• Kudingeka yini ukunembe noma ukunqunyelwa?
• Ingabe izindleko noma ukushesha ukuthola izimpendulo kufanelekile kuwe?
• Uhlobo luni lolwazi olulindele imodeli ukuthi idlule ku-Excel ku – Ingabe ikhodi ye-IT, ukukhiqizwa kokuqukethwe, i-OCR yamadokhumenti akhona, njll.
• Ngabe wakheka ngokudutshulwa okukodwa noma ukugeleza komsebenzi okugcwele okugcwele?

Uma usuthole lowo mongo, ungafanisa nezidingo zakho kulokho abahlinzeki bemodeli abahlukahlukene abakunikeze. I-LLM landscape ngo-2025 icebile, ixakile, futhi imangalisa kancane. Ngakho-ke nakhu okusheshayo komhlaba:

1. Okwakho akuqiniseki okwamanje futhi ufuna ummese waseSwitzerland – Vulai
   Qala nge I-Opelai's GPT-4 Turbo noma GPT-4O. Lawa mamodeli yi-Go-to Choice for Agents edinga yenza izinto futhi ungazihlanganisi ngenkathi uzenza. Bahle ngesikhathi sokubonisana, ukufaka amakhodi, nokunikeza izimpendulo zomongo kahle. Kepha (kunjalo) kukhona ukubamba. Baboshwe amamodeli futhi amamodeli aphathelene, okusho ukuthi awukwazi ukukhetha ngaphansi kwe-hood, akukho ukuqina noma ukuhleleka okuhle.
   Futhi ngenkathi i-OpenAI inikeza ubumfihlo bebanga le-Enterprise, khumbula: Ngokuzenzakalelayo, idatha yakho isaqhubeka laphaya. Uma usebenza nanoma yini ephathelene, elawulwa, noma ebucayi, hlola kabili amaqembu akho asemthethweni nawokuphepha asebhodini.

   Okufanele futhi ukwazi: Lezi zinhlobo abathandayookuyisipho nesiqalekiso nesiqalekiso. Bazokwenza noma yini enhle, kepha kwesinye isikhathi ngendlela ephakathi kakhulu. Ngaphandle kokuphakanyiswa okuningiliziwe, kungazenzakalelayo ukuphepha, izimpendulo ze-bland, noma izimpendulo ze-boilerplate.
   Futhi okokugcina, bopha isikhwama sakho semali!

2. Uma i-ejenti yakho idinga ukubhala ikhodi kanye ne-crunch math – Deepseek
   Uma i-ejenti yakho izosebenza kakhulu ekusebenzeni nge-dafaframes, imisebenzi, noma imisebenzi yezibalo, i-Deepseek ifana nokuqasha i-PhD yezibalo futhi okwenzekayo ukubhala uPython! Ilungiselelwe Ukubonisana kanye nesizukulwane sekhodifuthi kuvame ukwehla amagama amakhulu ekucabangeni okuhlelekile. Futhi yebo, kuyisisindo esivulekile – igumbi elingaphezulu lokwenza ngokwezifiso uma ulidinga!
3. Uma ufuna izimpendulo ezicatshangelwe, ngokucophelela kanye nemodeli ezwakala sengathi ibheka imiphumela ephindwe kabili? – Anthropic
   Uma i-GPT-4 iyi-polymath ekhuluma ngokushesha, uClaude nguyena ocabanga ngokujulile ngaphambi kokukutshela okuthile, khona-ke kuqhubeka ukuletha okuthile buthule.

   UClaude uqeqeshelwe ukuqaphela, ngamabomu, futhi aphephile. Ilungele ama-ejenti adinga ukucabanga ngokuziphatha, abukeze idatha ebucayi, noma akhiqize izimpendulo ezithembekile, ezihlelekile ngethoni ezolile.ikahle futhi ngokuhlala ngaphakathi kwemingcele nokuqonda izimo ezinde, eziyinkimbinkimbi. Uma umenzeli wakho enza izinqumo noma ukubhekana nedatha yomsebenzisi, uClaude uzizwa sengathi ukubheka kabili ngaphambi kokuphendula, futhi ngiqonde lokhu ngendlela enhle!

4. Uma ufuna ukulawulwa okugcwele, ukutholwa kwendawo, futhi akukho okuncike ngamafu – okungafani
   Amamodeli angemuhle anesisindo esivulekile, asheshayo, futhi amangazayo – ekwazi ngokumangazayo uma ufuna ukulawula okugcwele noma ukhetha ukwenza izinto nge-Hardware yakho. Bancike ekwakhiweni, ngokuzijabulisa okuncane noma ngokuziphatha okubhakiwe, ukukunikeza ukufinyelela okuqondile kwemiphumela kanye nokusebenza kwemodeli. Ungabaqhuba endaweni yangakini bese weqa imali ekhokhwayo ngokuphelele, ubenze baphelele ekuqaleni, ama-hobbyists, noma ubani okhathele ukubukela izindleko zokubuka phezulu ngegama. Ngenkathi zingase zize zibe zimfushane ngokucabanga okungenangqondo ziqhathaniswa ne-GPT-4 noma i-Claude, futhi zidinga amathuluzi angaphandle emisebenzi efana nokusebenza kwezithombe, anikeza ubumfihlo, ukuguquguquka, kanye nokwenza ngokwezifiso ama-API aphethwe.
5. Hlanganisa-and-match
   Kepha, akudingeki ukhethe nje imodeli eyodwa! Ngokuya nge-ejenti yakho yezakhiwo, ungaxuba futhi uqondanise ukuze udlale amandla wemodeli ngayinye. Sebenzisa iClaude ngokucabanga ngokucophelela nangezimpendulo ezivikelwe, ngenkathi kulayishwa izindleko zizukulwane ngesimo sendawo yendawo ukugcina izindleko ziphansi. Umzila we-Smart phakathi kwamamodeli akuvumela ukuthi wenze kahle ikhwalithi, ijubane, nesabelomali.

Khetha amathuluzi afanele

Lapho wakhe i-ejenti ye-AI, kuyalingelwa ukucabanga ngokuya ngezinhlaka kanye nemitapo yolwazi – vele ukhethe iLangchain noma i-Pydantic-ai nezintambo zocingo ndawonye, ​​ngakwesokudla? Kepha iqiniso lingahle lihluke kancane ngokuya ngokuthi uhlela ukusebenzisa i-ejenti yakho ukuthi isetshenziselwe ukugeleza komsebenzi wokukhiqiza noma cha. Ngakho-ke uma unemibuzo ngalokho okufanele ucabangele, ake ngimboze lezi zindawo ezilandelayo kuwe: ingqalasizinda, izinhlaka zamakhodi kanye nokuphepha kwamakhodi kanye nokuphepha kwe-agent.

• Ingqalasizinda: Ngaphambi kokuthi umenzeli wakho angacabanga, kudinga endaweni ethile okufanele ugijime. Amaqembu amaningi aqala ngabathengisi be-Cloud Cloud (ama-AWS, GCP ne-Azure), abanikela ngesilinganiso nokuguquguquka okudingekayo kwemisebenzi yomsebenzi wokukhiqiza. Uma ugingqa ukuthunyelwa kwakho, amathuluzi anjenge-Fastapi, i-VLLM, noma ama-Kubernete kungenzeka abe kuxube. Kepha uma ungakhetha ukweqa ama-deliops, amapulatifomu afana nama-ejenti.A noma uLangfusei aphatha izingxenye ezinzima kuwe. Baphatha ukuthunyelwa, ukukala, nokuqapha ukuze ukwazi ukugxila kumqondo we-agent.
• Izinhlaka: Lapho umenzeli wakho egijima, udinga i-logic! I-Langgraph ilungele uma i-ejenti yakho idinga ukucabanga okuhleliwe noma ukugeleza okusebenzayo. Ukuphuma okuqinile nokuqinisekiswa kwe-schema, i-pydantic-ai kukuvumela ukuthi uchaze kahle ukuthi imodeli kufanele ibuye yini, iguqule umbhalo onzima ube yizinto ezihlanzekile ze-python. Uma wakhe amasistimu we-ejenti amaningi, i-crewai noma i-autogen ukukhetha okungcono kakhulu njengoba kukuvumela ukuthi uxhumanise ama-ejenti amaningi ngezindima nezinhloso ezichaziwe. Uhlaka ngalunye luletha ilensi ehlukile: Abanye bagxila ekugelezeni, abanye ngesakhiwo noma sokusebenzisana.
• Ukuvikeleka: Yingxenye ethambile abantu beqa – kepha i-Agent Author ne-EcureScent Dance. Amathuluzi anjenge-Agentauth ne-Arcade AI asiza ukuphatha izimvume, iziqinisekiso, kanye nokwenza okuphephile. Ngisho ne-ejenti yomuntu siqu efunda i-imeyili yakho ingakwazi ukufinyelela okujulile kwidatha ebucayi. Uma kungenza egameni lakho, kufanele iphathwe njenganoma yiluphi olunye uhlelo olunamalungelo.

Konke kuhlanganiswe ndawonye, ​​kukunika isisekelo esiqinile sokwakha ama-ejenti angasebenzi kuphela, kepha silinganise, sivumelane nezimo futhi sivikelekile.

Noma kunjalo, ngisho ne-ejenti yobunjiniyela abahamba phambili ingaphuma ngojantshi uma unganakile. Esigabeni esilandelayo, ngizomboza ukuthi kufanele ngiqinisekise kanjani ukuthi umenzeli wakho uhlala ngangokunokwenzeka ngaphakathi kwalabo ojantshi.

Hlela ukuhamba kwe-ejenti ngezidingo zesicelo

Lapho umenzeli wakho esetshenzisiwe, ukugxila kuguquka kusuka ekutholeni ukugijima, ukuqiniseka ukuthi kuyabaleka ngokuthembekile. Lokho kusho ukunciphisa ama-hallucinations, kuphoqelela indlela efanelekile, kanye nokuqinisekisa imiphumela kuvumelanisa nokulindelwe kohlelo lwakho.

Ukwethembeka kuma-Agents AI aqhamuki ngokusuka esikhathini eside noma udaba lwegama elingcono. Kuvela ngokuvumelanisa i-ejenti Ukulawula ukugeleza Nge-Logic yohlelo lwakho lokusebenza, futhi ulusebenzisa amasu asungulwe kahle avela ocwaningweni lwakamuva lwe-LLM noMkhuba wobunjiniyela. Kepha yiliphi lezo zindlela ongathembela kuzo ngenkathi uthuthukisa umenzeli wakho?

1. Hlela umsebenzi ngokuhlela nokukhuthaza okuguqukayo:
   Esikhundleni sokuncika kwisikhashana esisodwa ukuxazulula imisebenzi eyinkimbinkimbi, hlukana nokusebenzisana usebenzisa izindlela ezisuselwa ekuhlelweni:

• I-Chain-of-Tempent (COT) IT: Force imodeli ukuthi icabange ngesinyathelo-ngesinyathelo (sei et al., 2022). Isiza ukunciphisa ama-leaps anengqondo futhi kwandisa ukucaca.
• Phendula: Kuhlanganisa ukucabanga nokwenza (yao et al., 2022), ukuvumela i-ejenti ukuba iguquke phakathi kokubonisana kwangaphakathi nokusetshenziswa kwamathuluzi kwangaphandle.
• Amamodeli ezilimi zohlelo (Pal): Sebenzisa i-LLM ukukhiqiza ikhodi esebenzisayo (imvamisa i-Python) yokuxazulula imisebenzi kunokuba i-freeform actput (GAO et al., 2022).
• Umphathi wamanyelazi: Okuzenzakalelayo kukhushulwa i-ejenti ngethuluzi langaphandle libiza lapho ukucabanga kukodwa kungelutho (uShick et al., 2023).

2. Qeda isakhiwo sakho sokukhipha
   I-LLM yizinhlelo eziguquguqukayo, nekhono lokubonisa ngolimi lwemvelo, kepha, kunethuba lokuthi uhlelo lwakho lungekho.

   Amaqhinga we-Leveraging Schema agcizelela ukuqinisekisa ukuthi imiphumela yakho iyahambelana nezinhlelo nokuhlanganiswa okukhona.

   Ezinye zezinhlaka ze-AI Agents, njengePydantic AI, sengivele zikuvumele uchaze ama-Schemas Rescemas ngekhodi bese uqinisekisa ngabo ngesikhathi sangempela.

3. Hlela ukwehluleka Ukuphatha kusengaphambili
   Ukwehluleka akunakugwenywa, ngemuva kwakho konke sibhekene nezinhlelo ze-probablistic. Hlela ama-hallucinations, ukuqedwa okungafanele noma ukuntuleka kokuhambisana nezinhloso zakho:

• Enezelela Phinda usebenzise amasu ngokuphuma okungafanele noma okungaphelele.
• Sebenzisa GuardRails Ai noma ama-avil avivali wangokwezifiso ukuze akhiphe futhi wenqabe izizukulwane ezingavumelekile.
• Gcwalisa Ukuwa kwe-Fallback, amamodeli wesipelenoma ngisho ukwanda komuntu in-the-loop Ukugeleza okubucayi.

  I-ejenti ye-AI ethembekile ayinciki ekutheni imodeli enhle kangakanani noma indlela yokuqeqesha yayinembile kangakanani, ekugcineni kube yimiphumela yobunjiniyela bezinhlelo zamabomu, ukuncika kokucatshangelwa okuqinile mayelana nedatha, ukwakheka, nokulawula!

Njengoba sidlulela kuma-ejenti amaningi aphakathi nendawo nakwa-API, kucacelwe umthetho owodwa: Ikhwalithi yedatha ayiseyona ukukhathazeka kwesibili kodwa okuyisisekelo ekusebenzeni kwe-ejenti. Amandla we-ejenti acabanga, uhlelo, noma isenzo axhomezeki nje ezinsimbi zemodeli, kepha ekucaciseni, kuguquguqukayo, kanye nama-semantics wedatha acubungula.

I-LLMS yizinkomba ezijwayelekile, kepha ama-ejenti angochwepheshe. Futhi ukugxila ngempumelelo, badinga amasiginali akhethiwe, hhayi ukugcwala okunomsindo. Lokho kusho ukuphoqelelwa kwesakhiwo, ukuklama ukugeleza okunamandla, futhi kushumeke ulwazi lwesizinda kuyo yonke imininingwane kanye nokusebenzisana kwe-ejenti nakho.

Ikusasa le-AI Agents ngeke lichazwe ngamamodeli amakhulu kuphela, kepha ngekhwalithi yedatha nengqalasizinda ezungezile. Onjiniyela abaqonda lokhu kuzoba yilabo abahola isizukulwane esilandelayo sezinhlelo ze-AI.