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Ithemu yohlu lwamagama e-AI
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Incazelo
Ikhono lemodeli lokugcina ukusebenza ngaphansi komsindo, amashifu, noma okokufaka okuphikisayo.
Imigomo ehlobene
Iqembu Elibomvu
Ukuhlola ingcindezi isistimu ye-AI eneziyalezo eziphikisanayo ukuze kudalule ukwehluleka nobungozi.
Ibhentshimakhi
Ukuhlolwa okujwayelekile noma isethi yedatha esetshenziselwa ukukala nokuqhathanisa ukusebenza kwemodeli.
I-Data Drift
Ushintsho kudatha yokufaka yomhlaba wangempela ngokuhamba kwesikhathi okungase kwehlise izinga lokusebenza kwemodeli.
Imodeli Yokusabalalisa
Isakhiwo esikhiqizayo esifunda ukuhlehlisa umsindo ukuze sihlanganise izithombe, umsindo, noma okunye okuqukethwe.
Hlanganisa
Ukuhlanganisa izibikezelo ezivela kumamodeli amaningi ukuthuthukisa ukuqina noma ukunemba.
I-GAN (Generative Adversarial Network)
Isethaphu ekhiqizayo lapho ijeneretha nombandlululi baqeqeshana.
Funda kabanzi kumhlahlandlela wethu wamahhala
Adversarial Examples and Robustness
Bhekafuthi
Reward Model
Safety Filter
Retrieval
Scaling Law
Reinforcement Learning from Human Feedback (RLHF)
Semantic Search
Reinforcement Learning
Self-Supervised Learning
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