What is Feature Store? Definition | AI Understanding

Nkọwa

Sistemụ jikwaa maka ịchekwa na ịnye njirimara ML akwadoro mgbe niile maka ọzụzụ na ntinye aka.

Okwu ndị metụtara

Mwepụta atụmatụ

Na-atụgharị data raw ka ọ bụrụ njirimara ozi nke ihe nlereanya nwere ike iji.

Algọridim nlebara anya kachasị nke na-ebelata ojiji ebe nchekwa ma na-eme ka ọzụzụ mgbanwe na ntinye dị ngwa.

Ngbanwe ntinye nke ihe nlere ji mee amụma.

Njirimara Injinia

Ịmepụta ma ọ bụ gbanwee mgbanwe ntinye ka ọ dị mfe mmụta na ịdị irè karị.

Imezicha nke ọma

Ịga n'ihu na ọzụzụ na ngalaba-kpọmkwem data iji gbanwee ihe nlereanya a zụrụ azụ na otu ọrụ.

Ọgụgụ isi Artificial General (AGI)

Usoro AI chere echiche nke nwere ike ịrụ ọtụtụ ọrụ ọgụgụ isi na ọkwa mmadụ n'ọtụtụ ngalaba.

Mụtakwuo na ntuziaka efu anyị

Linear Probing and Frozen Feature Evaluation Feature Engineering Pipelines and Data Versioning Online and Offline Feature Serving Skew Feature Pyramid Networks

Hụkwa

Eval Harness Groundedness Embedding Model Guarded Decoding Distilled Model Human Preference Model Differential Privacy Inference Endpoint

Chọgharịa akwụkwọ nkọwa AI zuru ezu Nyochaa ntuziaka AI niile efu