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.
InfoWorld

Microsoft’s action-focused small language model Mu

The future of AI is on the edge. The tiny Mu model is how Microsoft is building its new Windows agents. If you’re running on the bleeding edge of Windows, using the Windows Insider program to install ...
Computerworld

Microsoft’s new genAI model to power agents in Windows 11

Microsoft is laying the groundwork for Windows 11 to morph into a genAI-driven OS. The company on Monday announced a critical AI technology that will make it possible to run generative AI (genAI) ...
IEEE

An Optimized Model With Encoder-Decoder ConvLSTM for Global Ionospheric Forecasting

Abstract: The ionosphere is vital for satellite navigation and radio communication, but observational limitations necessitate ionospheric forecasting. The least squares collocation (LSC) method is ...
VentureBeat

Qualcomm and Nokia Bell Labs show how multiple-vendor AI models can work together in wireless networks

Qualcomm and Nokia Bell Labs showed how multiple-vendor AI models can work together in an interoperable way in wireless networks. Carl Nuzman, Bell Labs Fellow at Nokia Bell Labs and Rachel Wang, ...
blockchain

NVIDIA TensorRT-LLM Enhances Encoder-Decoder Models with In-Flight Batching

NVIDIA's TensorRT-LLM now supports encoder-decoder models with in-flight batching, offering optimized inference for AI applications. Discover the enhancements for generative AI on NVIDIA GPUs. NVIDIA ...
IEEE

DED-SAM:Adapting Segment Anything Model 2 for Dual Encoder–Decoder Change Detection

Abstract: Change detection has become a crucial topic in the field of remote sensing deep learning due to its extensive application in earth observation. However, real remote sensing images often ...
GitHub

[Usage]: Does vLLM support prefix decoder / causal mask with prefix?

To my understanding, vLLM has supported "Causal Decoder" and "Encoder-Decoder". Does vLLM support prefix decoder? How can I add a prefix decoder model into vLLM? I want to run inference of a ...