Sisitemu yo kumenya-sisitemu ya AI yahinduye uburyo dukorana nikoranabuhanga. Izi sisitemu zirashobora gusobanukirwa no gusubiza ibibazo byimyitwarire yumuntu, bigatuma biba ngombwa mubikorwa bitandukanye, kuva serivisi zabakiriya kugeza kubuvuzi. Muri iyi ngingo, tuzacukumbura ejo hazaza ha sisitemu ya AI imenya imiterere, twibanze ku myubakire n'imikorere.
Imiterere Yubu Imiterere-Kumenya AI
Sisitemu yo kumenya imiterere ya AI ikoresha uruvange rwo gutunganya ururimi karemano (NLP), kwiga imashini (ML), hamwe no guhagararira ubumenyi kugirango wumve imiterere yikibazo. Barashobora gusesengura umubare munini wamakuru, harimo inyandiko, imvugo, hamwe nogusoma sensor, kugirango batange ibisubizo byihariye kandi bifatika.
Ariko, imiterere-yimikorere ya sisitemu ya AI ifite aho igarukira. Bakunze gushingira kuri sisitemu ishingiye kumategeko, ishobora guhinduka kandi bigoye kuyakomeza. Byongeye kandi, ntibashobora gukemura ibibazo bigoye, bigenda neza, aho imiterere ihora ihinduka.
Kazoza ka Context-Kumenya AI: Ubwubatsi
Kugira ngo tuneshe izo mbogamizi, sisitemu ya AI izakenera kumenya imiterere yububiko. Bimwe mubyingenzi byingenzi birimo:
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- ** Hybrid yegera **: Uburyo bwa Hybrid buhuza AI igereranya kandi ihuza AI, itanga ubumenyi bunoze kandi bunoze bwo kwerekana no gutekereza.
- ** Edge AI **: Edge AI ikubiyemo gutunganya amakuru kuruhande rwurusobe, kugabanya ubukererwe no kunoza imikorere yigihe.
- ** Ibisobanuro no gukorera mu mucyo **: Ibisobanuro no gukorera mu mucyo ni ngombwa mu kubaka ikizere muri sisitemu ya AI izi neza imiterere. Sisitemu izaza izakenera gutanga ibisobanuro byumvikana kubyemezo byabo nibikorwa.
Kazoza ka Context-Kumenya AI: Imikorere
Kugirango ugere ku mikorere ihanitse, sisitemu yo kumenya imiterere ya AI izakenera gushushanywa hifashishijwe imikorere nubunini mubitekerezo. Bimwe mubyingenzi byingenzi birimo:
- ** Gutunganya gukwirakwizwa **: Gutunganya kugabanwa bikubiyemo kugabanya imirimo murwego rwinshi, kunoza ubunini no kugabanya ubukererwe. ** **
- ** Kwiga guhuza n'imihindagurikire y'ikirere **: Kwiga guhuza n'imihindagurikire bikubiyemo guhindura inzira yo kwiga kugirango uhindure imikorere kandi neza.
Kode Urugero: Context-Aware AI hamwe na LangChain
Dore urugero rworoshye rwa sisitemu yo kumenya imiterere ya AI ukoresheje LangChain, isomero rya Python yo kubaka sisitemu yo kuganira ya AI: `` python gutumiza mu mahanga
Sobanura ikiganiro hamwe na moderi-azi imiterere ya AI
chatbot = langchain.Chatbot ( icyitegererezo = langchain.models.LLaMA (), urunigi = urunigi. Urunigi ( langchain.Ibibazo.LLMTask ( input_text = "Uraho, umeze ute?" ) ) )
Sobanura imiterere ya AI yerekana imiterere
icyitegererezo = langchain.models.LLaMA ()
Sobanura urunigi rwa AI
urunigi = urunigi. Urunigi ( langchain.Ibibazo.LLMTask ( input_text = "Uraho, umeze ute?" ) )
Koresha ikiganiro
igisubizo = chatbot.run () icapiro (igisubizo) `` ` Iyi kode isobanura chatbot ifite imiterere-yimiterere ya AI hamwe numuyoboro wa AI uzi neza imiterere. Chatbot irashobora gusubiza ibyinjira byabakoresha kandi igatanga ibisubizo byihariye kandi bifatika.
Hejuru 5-10 Amabwiriza Yakoreshejwe Byinshi / Uduce
Hano hari amwe mumabwiriza akoreshwa cyane hamwe nibisobanuro bya sisitemu yo kumenya AI:
- ** Moderi ya LLaMA **:
langchain.models.LLaMA () - ** Chatbot **: `langchain.Chatbot (icyitegererezo = langchain.models.LLaMA (), urunigi = ururimi
- ** Urunani-rumenya urunigi rwa AI **: `ururimi. Urunigi (ururimi
- ** Ikwirakwizwa ryatanzwe **:
langchain.Gutangwa Gutunganya (num_node = 4) - ** Ibyuma byabugenewe **:
langchain.Ibikoresho byihariye bya porogaramu (gpu = Nukuri) - ** Gutunganya-igihe nyacyo **:
langchain.Ibihe Byukuri Gutunganya (igihe cyateganijwe = 1000) - ** Kwiga guhuza n'imihindagurikire y'ikirere **:
langchain. Kwiga Kwiga (Kwiga_rate = 0.01) - ** Igishushanyo gishingiye ku bumenyi bugereranya **:
langchain.GraphKnowledgeRepresentation (graph_type =" iyobora ") - ** Hybrid yegera **:
langchain.HybridApproach (ikigereranyo = Nukuri, umuhuza = Nukuri) - ** Impande AI **:
langchain.EdgeAI (edge_device =" raspberry_pi ")
Kubona amashusho: Context-Aware AI Sisitemu yububiko
Hano hari amashusho yuburyo bwa AI sisitemu yububiko ikoresheje Chart.js:
json { "ubwoko": "akabari", "amakuru": { "ibirango": ["Ubumenyi bushingiye ku bishushanyo", "Hybrid yegera", "Edge AI"], "imibare": [ { "label": "Ubwubatsi", "amakuru": [10, 15, 20], "backgroundColor": ["rgba (255, 99, 132, 0.2)", "rgba (54, 162, 235, 0.2)", "rgba (255, 206, 86, 0.2)"], "umupaka w'amabara": ["rgba (255, 99, 132, 1)", "rgba (54, 162, 235, 1)", "rgba (255, 206, 86, 1)"], "Ubugari bwumupaka": [1, 1, 1] } ] }, "amahitamo": { "umunzani": { "yAxes": [ { "amatiku": { "gutangiraAtZero": ukuri } } ] } } } `
Iyi visualisation yerekana imiterere ya sisitemu ya AI imenyekanisha imiterere, harimo ubumenyi bushingiye ku bishushanyo, ubumenyi bwa Hybrid, hamwe na AI.
Umwanzuro
Ejo hazaza hamenyekanye sisitemu ya AI irasa, hamwe niterambere mu myubakire n'imikorere ituma imikorere ya AI ikora neza kandi neza. Mugukoresha igishushanyo mbonera cyubumenyi bugereranya, uburyo bwa Hybrid, inkombe ya AI, nibindi bigenda, turashobora kubaka sisitemu ya AI igezweho kandi ihuza n'imiterere. Hifashishijwe amasomero nka LangChain na Chart.js, turashobora gukora sisitemu ikomeye kandi yimbitse ya AI ishobora gusubiza ibibazo byimyitwarire yabantu.