New Apple model combines vision understanding and image generation with impressive results

Manzano combines visual understanding and text-to-image generation, while significantly reducing performance or quality trade-offs.
IEEE

Transforming Structural Health Monitoring: Leveraging Multisource Data Fusion With Two-Stage Encoder Transformer for Bridge Deformation Prediction

Abstract: Bridge deformation monitoring is critical for ensuring the structural integrity and safety of bridges, as it enables early detection of potential issues that may lead to failure. However, ...
IEEE

A Novel Hybrid Architecture With Fast Lightweight Encoder and Transformer Under Attention Fusion for the Enhancement of Sand Dust and Haze Image Restoration

Abstract: Outdoor weather conditions such as haze, fog, sand dust, and low light significantly degrade image quality, causing color distortions, low contrast, and poor visibility. In spite of the ...
Hosted on MSN

Transformer encoder architecture explained simply

We break down the Encoder architecture in Transformers, layer by layer! If you've ever wondered how models like BERT and GPT process text, this is your ultimate guide. We look at the entire design of ...
GitHub

Add HumanV: decoder-only causal LM #42982

Dictionary containing the configuration parameters for the RoPE embeddings. Must include `rope_theta`. Dictionary containing the configuration parameters for the RoPE embeddings. attention_bias ...