ManySpace
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Yapay ZekâÖnerilenAIML-MM-002

Contrastive Image-Text Pretraining

Aligning image and text encoders on web-scale pairs, enabling zero-shot classification by text prompts.

Bu konunun henüz Türkçe çevirisi yok, bu yüzden İngilizce gösteriliyor.

Zorluk
3 / 5
Önem
4 / 5
Çalışma süresi
1–2 sa
Çalışma türü
Karma

Neden önemli

The learner can perform zero-shot classification with image-text similarity and explain how prompt wording changes the result.

Bu konuya giden rota

Rota AIML-MM-002
What Is a Model? Tasks: Regression, Classification, and Beyond Features and Targets Learning Paradigms: Where the Supervision Signal Comes From Classification Framing Linear Regression I: Prediction and Residuals Embeddings Images as Tensors Scores and Logits Self-Supervised Learning Loss and Fitting: Squared Error Similarity in Vector Space Multimodal Representations Multiclass Scores and Softmax Objective Functions and Empirical Risk Query, Key, Value Likelihood Similarity Scores Cross-Entropy Loss Weighted Aggregation Self-Attention Contrastive Learning The Attention Block Vision Transformers Contrastive Image-Text Pretraining