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GenAI – What Is Contrastive Learning ?
GenAI – What Is Contrastive Learning ? Table Of Contents: What Is Contrastive Learning ? Real Life Analogy. Why It Is Useful. Example Of Contrastive Learning. Key Components Of Contrastive Learning. Steps In Contrastive Learning. Application Of Contractive Learning. Benefits Of Contrastive Learning. Challenges Of Contrastive Learning. Contrastive Learning Models. (1) What Is Contrastive Learning ? (2) What Exactly The Model Is Learning ? (3) How It Is Different From Clustering ? (4) What Is Self Supervised Learning Algorithm? (5) Why Contrastive Learning Is Self Supervised Learning ? (6)What Is The Learning Task For Contrastive Learning Process ? (7) Give
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GenAI – Multimodal CLIP Model .
GenAI – Multimodal CLIP Model Table Of Contents: Introduction To CLIP Model. What is CLIP? Why CLIP was developed (motivation) Use cases and real-world applications Comparison with previous approaches (e.g., ImageNet classification) CLIP Architecture Dual-encoder design: Image encoder and Text encoder ViT (Vision Transformer) or ResNet for images Transformer for text encoding Embedding spaces and joint alignment Contrastive Pretraining in CLIP How CLIP learns from (image, text) pairs Contrastive loss function (InfoNCE) Positive vs negative sampling Similarity computation using cosine similarity CLIP Training Dataset & Setup Dataset used: 400M (image, text) pairs Uncurated, noisy internet data Zero-shot learning setup CLIP
