Bemutat\u00e1sra ker\u00fclt az OpenChatKit ny\u00edlt eszk\u00f6zt\u00e1r, amely a chatbotok egyszer\u0171bb l\u00e9trehoz\u00e1s\u00e1ra \u00f6sszpontos\u00edt, mind a szakmai, mind a \u00e1ltal\u00e1nos c\u00e9lokra. A rendszer alkalmazkodik olyan feladatokhoz, mint a k\u00e9rd\u00e9sek megv\u00e1laszol\u00e1sa, t\u00f6bbl\u00e9pcs\u0151s p\u00e1rbesz\u00e9dek lebonyol\u00edt\u00e1sa, \u00f6sszegz\u00e9s, inform\u00e1ci\u00f3k kinyer\u00e9se, sz\u00f6vegklasszifik\u00e1ci\u00f3. A k\u00f3d Python nyelven \u00edr\u00f3dott, \u00e9s Apache 2.0 licenc alatt terjesztik. A projekt tartalmaz egy k\u00e9sz modellt, a saj\u00e1t modell tr\u00e9ningj\u00e9hez sz\u00fcks\u00e9ges k\u00f3dot, eszk\u00f6z\u00f6ket a modell teljes\u00edtm\u00e9ny\u00e9nek tesztel\u00e9s\u00e9re, valamint eszk\u00f6z\u00f6ket a modell k\u00fcls\u0151 indexb\u0151l sz\u00e1rmaz\u00f3 kontextussal val\u00f3 kieg\u00e9sz\u00edt\u00e9s\u00e9re \u00e9s a f\u0151 modell saj\u00e1t feladatokhoz val\u00f3 alkalmaz\u00e1s\u00e1ra. <\/p>\n
A bot alapjak\u00e9nt egy g\u00e9pi tanul\u00e1son alapul\u00f3 alapmodellt javasolnak (GPT-NeoXT-Chat-Base-20B), amelyet egy 20 milli\u00e1rd param\u00e9tert tartalmaz\u00f3 nyelvi modell k\u00e9sz\u00edtett, \u00e9s amely a besz\u00e9lget\u0151 kommunik\u00e1ci\u00f3ra optimaliz\u00e1lt. A modell tan\u00edt\u00e1s\u00e1hoz a LAION, a Together \u00e9s az Ontocord.ai projektjeib\u0151l sz\u00e1rmaz\u00f3 adatokat haszn\u00e1ltak. <\/p>\n
A megl\u00e9v\u0151 tud\u00e1sb\u00e1zis kiterjeszt\u00e9s\u00e9re egy olyan rendszert javasolnak, amely k\u00e9pes tov\u00e1bbi inform\u00e1ci\u00f3k kinyer\u00e9s\u00e9re k\u00fcls\u0151 t\u00e1rol\u00f3kb\u00f3l, API-b\u00f3l \u00e9s egy\u00e9b forr\u00e1sokb\u00f3l. P\u00e9ld\u00e1ul lehets\u00e9ges az inform\u00e1ci\u00f3k aktualiz\u00e1l\u00e1sa a Wikip\u00e9dia \u00e9s h\u00edrcsatorn\u00e1kb\u00f3l sz\u00e1rmaz\u00f3 adatok felhaszn\u00e1l\u00e1s\u00e1val. Ezen k\u00edv\u00fcl el\u00e9rhet\u0151 egy moder\u00e1l\u00f3 modell, amelyet 6 milli\u00e1rd param\u00e9ter felhaszn\u00e1l\u00e1s\u00e1val k\u00e9peztek, \u00e9s amely a GPT-JT modellen alapul, c\u00e9lja a nem megfelel\u0151 k\u00e9rd\u00e9sek kisz\u0171r\u00e9se vagy a bizonyos t\u00e9m\u00e1k k\u00f6r\u00fcli diskurzusok korl\u00e1toz\u00e1sa. <\/p>\n
K\u00fcl\u00f6n figyelmet \u00e9rdemel a ChatLLaMA projekt, amely egy k\u00f6nyvt\u00e1rat k\u00edn\u00e1l intelligens asszisztensek l\u00e9trehoz\u00e1s\u00e1hoz, amelyek hasonl\u00edtanak a ChatGPT-re. A projekt fejl\u0151d\u00e9se szempontj\u00e1b\u00f3l fontos a saj\u00e1t hardveren val\u00f3 futtat\u00e1s lehet\u0151s\u00e9ge \u00e9s a szem\u00e9lyre szabott megold\u00e1sok kifejleszt\u00e9se, amelyek a sz\u0171k szakter\u00fcletek (p\u00e9ld\u00e1ul orvostudom\u00e1ny, jog, j\u00e1t\u00e9kok, tudom\u00e1nyos kutat\u00e1sok stb.) lefed\u00e9s\u00e9re \u00f6sszpontos\u00edtanak. A ChatLLaMA k\u00f3dja GPLv3 licenc alatt ker\u00fcl forgalomba. <\/p>\n
A projekt t\u00e1mogatja a Meta \u00e1ltal javasolt LLaMA (Large Language Model Meta AI) architekt\u00far\u00e1ra \u00e9p\u00fcl\u0151 modellek haszn\u00e1lat\u00e1t. A teljes LLaMA modell 65 milli\u00e1rd param\u00e9tert \u00f6lel fel, de a ChatLLaMA sz\u00e1m\u00e1ra a 7 \u00e9s 13 milli\u00e1rd param\u00e9teres v\u00e1ltozatok, valamint a GPTJ (6 milli\u00e1rd), GPTNeoX (1.3 milli\u00e1rd), 20BOPT (13 milli\u00e1rd), BLOOM (7.1 milli\u00e1rd) \u00e9s Galactica (6.7 milli\u00e1rd) modellek haszn\u00e1lata javasolt. A LLaMA modellek kezdetben csak tud\u00f3sok sz\u00e1m\u00e1ra, k\u00fcl\u00f6n k\u00e9r\u00e9sre \u00e9rhet\u0151k el, de mivel a modellek adatainak tov\u00e1bb\u00edt\u00e1s\u00e1ra torrentez\u00e9st haszn\u00e1ltak, a lelkesed\u0151k elk\u00e9sz\u00edtettek egy szkriptet, amely lehet\u0151v\u00e9 teszi a modell let\u00f6lt\u00e9s\u00e9t b\u00e1rki sz\u00e1m\u00e1ra, aki szeretn\u00e9. \u041f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043b\u0435\u043d \u043e\u0442\u043a\u0440\u044b\u0442\u044b\u0439 \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0439 OpenChatKit, \u043d\u0430\u0446\u0435\u043b\u0435\u043d\u043d\u044b\u0439 \u043d\u0430 \u0443\u043f\u0440\u043e\u0449\u0435\u043d\u0438\u0435 \u0441\u043e\u0437\u0434\u0430\u043d\u0438\u044f \u0447\u0430\u0442\u0431\u043e\u0442\u043e\u0432 \u0434\u043b\u044f \u0441\u043f\u0435\u0446\u0438\u0430\u043b\u0438\u0437\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u043e\u0433\u043e \u0438 \u043e\u0431\u0449\u0435\u0433\u043e \u043f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u044f. \u0421\u0438\u0441\u0442\u0435\u043c\u0430 \u0430\u0434\u0430\u043f\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0430 \u0434\u043b\u044f \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u044f \u0442\u0430\u043a\u0438\u0445 \u0437\u0430\u0434\u0430\u0447, \u043a\u0430\u043a \u043e\u0442\u0432\u0435\u0442\u044b \u043d\u0430 \u0432\u043e\u043f\u0440\u043e\u0441\u044b, \u0432\u0435\u0434\u0435\u043d\u0438\u0435 \u043c\u043d\u043e\u0433\u043e\u044d\u0442\u0430\u043f\u043d\u044b\u0445 \u0434\u0438\u0430\u043b\u043e\u0433\u043e\u0432, \u043e\u0431\u043e\u0431\u0449\u0435\u043d\u0438\u0435, \u0438\u0437\u0432\u043b\u0435\u0447\u0435\u043d\u0438\u0435 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u0438, \u043a\u043b\u0430\u0441\u0441\u0438\u0444\u0438\u043a\u0430\u0446\u0438\u044f \u0442\u0435\u043a\u0441\u0442\u0430. \u041a\u043e\u0434 \u043d\u0430\u043f\u0438\u0441\u0430\u043d \u043d\u0430 \u044f\u0437\u044b\u043a\u0435 Python \u0438 \u0440\u0430\u0441\u043f\u0440\u043e\u0441\u0442\u0440\u0430\u043d\u044f\u0435\u0442\u0441\u044f \u043f\u043e\u0434 \u043b\u0438\u0446\u0435\u043d\u0437\u0438\u0435\u0439 Apache 2.0. \u0412 \u0441\u043e\u0441\u0442\u0430\u0432 \u043f\u0440\u043e\u0435\u043a\u0442\u0430 \u0432\u0445\u043e\u0434\u0438\u0442 \u0433\u043e\u0442\u043e\u0432\u0430\u044f \u043c\u043e\u0434\u0435\u043b\u044c, \u043a\u043e\u0434 \u0434\u043b\u044f \u0442\u0440\u0435\u043d\u0438\u0440\u043e\u0432\u043a\u0438 \u0441\u0432\u043e\u0435\u0439 \u043c\u043e\u0434\u0435\u043b\u0438, \u0443\u0442\u0438\u043b\u0438\u0442\u044b […]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-107246","post","type-post","status-publish","format-standard","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\n","aioseo_head_json":{"title":"\ud83e\udd47Megjelent az OpenChatKit, a chatbotok l\u00e9trehoz\u00e1s\u00e1hoz sz\u00fcks\u00e9ges eszk\u00f6zk\u00e9szlet | ProHoster","description":"Bemutat\u00e1sra ker\u00fclt az OpenChatKit ny\u00edlt eszk\u00f6zk\u00e9szlet, amely a szakmai \u00e9s \u00e1ltal\u00e1nos c\u00e9l\u00fa chatbotok l\u00e9trehoz\u00e1s\u00e1nak egyszer\u0171s\u00edt\u00e9s\u00e9re 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Forr\u00e1s: opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"