This article explains CLIP’s dual‑encoder architecture, contrastive training, and zero‑shot inference, then demonstrates its use through image‑text matching and CIFAR‑10 classification experiments with code examples, highlighting strengths and limitations such as resolution mismatch.
The article describes a multimodal AI video moderation system built on Alibaba’s Chinese‑CLIP model and hybrid RedisSearch/ElasticSearch vector databases, enabling real‑time violation detection and historical recall, with fine‑tuned black‑market ad detection, FP16 quantization, and OpenVINO acceleration to boost speed and cut storage.
This article introduces FashionBERT, a multimodal BERT‑based model that replaces ROI‑based image tokens with uniform image patches to overcome e‑commerce specific challenges, details its architecture, adaptive loss balancing, deployment in Alibaba search, and reports significant performance gains on public and internal datasets.
