Okwu nkọwapụta AI

Gịnị bụ Multi-isi Ntị?

Nkọwa

Usoro ntụgharị nke na-arụ ọrụ nlebara anya dị iche iche n'otu oge iji weghara ụdị mmekọrịta dị iche iche.

Okwu ndị metụtara

Transformer
Nrụpụta akwara ozi nke na-eji nlebara anya na-egosipụta mmekọrịta n'ofe usoro n'usoro.
Mweghachite ọtụtụ ajụjụ
Usoro iweghachite nke na-edegharị ajụjụ onye ọrụ n'ime ọtụtụ ụdị iji melite ncheta.
Usoro nlebara anya
Akụkụ ihe atụ nke na-elekwasị anya na akụkụ dị mkpa nke ntinye mgbe ị na-emepụta mmepụta.
Ntị Flash
Algọridim nlebara anya kachasị nke na-ebelata ojiji ebe nchekwa ma na-eme ka ọzụzụ mgbanwe na ntinye dị ngwa.
Multimodal Model
Ụdị nke nwere ike ịhazi ma ọ bụ mepụta ọtụtụ ụdị data dịka ederede, onyonyo, na ọdịyo.
Eserese Ọmụma
Nhazi eserese nke ụlọ ọrụ na mmekọrịta ejiri maka ntụgharị uche ma ọ bụ iweghachite.

Mụtakwuo na ntuziaka efu anyị

Multilingual LLMsMultimodal SearchHard Parameter Sharing in Multi-Task NetworksAttention Rollout and Head Pruning

Hụkwa

Positional EncodingQLoRARoPE (Rotary Positional Embeddings)DPO (Direct Preference Optimization)ALiBiTree of ThoughtsSliding Window AttentionReAct
Chọgharịa akwụkwọ nkọwa AI zuru ezuNyochaa ntuziaka AI niile efu