Chii chinonzi Musanganiswa weNyanzvi (MoE)? Tsanangudzo | AI Understanding

Tsanangudzo

Chivakwa chine hunyanzvi subnetworks uko chete nyanzvi dzakasarudzwa dzinomhanya pane yekuisa.

Mashoko anoenderana

Basa iro modhi inogovera yekuisa kune imwe kana akawanda akatemerwa chikamu.

Sliding Window Attention

Maitiro ekutarisisa apo chiratidzo chega chega chinotarisa chete kune yakasarudzika-saizi hwindo rematokeni ari pedyo kuderedza komputa.

Kutarisisa Mechanism

Chikamu chemodhini chinotarisa zvine simba pazvikamu zvinoenderana zvechipo kana uchigadzira zvinobuda.

Chain-of-Pfungwa

Chimiro chekufunga uko iyo AI modhi inobvisa dambudziko kuita nhanho dzepakati.

Iyo multimodal modhi yekuvaka iyo inodzidza yakagovaniswa inomiririra pakati pezvinyorwa nemifananidzo.

Zvishandiso zvekugadzirisa zvinodiwa kudzidzisa nekumhanyisa modhi, kazhinji kuyerwa muFLOPS kana GPU maawa.

Dzidza zvakawanda mumadhairekitori edu emahara

Expert Parallelism for MoE Serving Mixture-of-Agents Aggregation Mixture of Depths Mixture of LoRA Experts

Onawo

Memory (Agent Memory)Model Card Machine Learning (ML)Model Drift Loss Function Model Quantization LoRA (Low-Rank Adaptation)Multimodal Model

Bhurawuza yakazara AI Glossary Ongorora ese emahara AI madhairekitori