Cross-Attention: Bridging Different Modalities
Understand cross-attention, the mechanism that enables transformers to align and fuse information from different sources, sequences, or modalities.
15 min readConcept
Tagged with
multimodal
Explore machine learning concepts related to multimodal. Clear explanations and practical insights.
5
Concepts Found
Concepts Related to multimodal
The Vision-Language Alignment Problem
Exploring the challenge of aligning visual and textual representations in multimodal AI systems.
5 min readConcept
The Modality Gap
Understanding the fundamental separation between visual and textual representations in multimodal models.
6 min readConcept
Multimodal Scaling Laws
Understanding how vision-language models scale with data, parameters, and compute following empirical power laws.
5 min readConcept
Vision-Language Adapters: Parameter-Efficient Multimodal Fine-tuning
Exploring LoRA, adapters, and other parameter-efficient methods for fine-tuning large vision-language models.
8 min readConcept