Contrastive Language Image Pretraining(CLIP)

OpenAI created multiplemodal vision model architecture Contrastive Language Image Pretraining (CLIP)

Contrastive Language Image Pretraining embedding models work for image and video classification, RAG, image similarity computations, and more

OpenAI modified multiple public checkpoints on huge datasets in its CLIP architecture

Intel Gaudi 2 with Hugging Face Transformers and Optimum Habana can train a custom CLIP model projection layer

CLIP calculates picture and text embeddings. CLIP models learn from image-text pairs

CLIP models can run at many frames per second, depending on hardware. CLIP runs best on AI-specific hardware like the Intel Gaudi 2 accelerator

Hugging Face Transformers joined Intel to enhance training and inference on Intel Gaudi 2 accelerator with Optimum Habana Transformers additions

CLIP-like models need captioned picture datasets. Image descriptions should be detailed enough for the model to grasp

Intel Gaudi 2 AI accelerator calculated CLIP vectors for 66,211 photos in 20m11s using default CLIP weights

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