What Is Learned by DreamLLM? Dream Query Attention | HackerNoon
Briefly

from Hackernoon1 year ago
In DREAMLLM, conditional embeddings derived from MLLMs utilize learned dream queries, revealing a structured, semantically-oriented query attention mechanism that captures distinct subject and background distinctions.
Hackernoonhttps://hackernoon.com/what-is-learned-by-dreamllm-dream-query-attention
The attention patterns in DreamLLM show remarkable consistency across varying prompts, suggesting a stable semantic structure, which is a deviation from traditional text-token dependencies seen in models like SD.
Hackernoonhttps://hackernoon.com/what-is-learned-by-dreamllm-dream-query-attention
Read at Hackernoon
#dreamllm #multimodal-learning #generative-models #diffusion-synthesis #attention-mechanism
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