Students often train large language models (LLMs) as part of a group. In that case, your group should implement robust access ...

I am working on exporting the "google/gemma-3n-e4b-it" model to the ONNX format and am encountering issues with the language model (decoder) component. I have been following the approach outlined in a ...

The Mu small language model enables an AI agent to take action on hundreds of system settings. It’s now in preview for some Windows Insiders.

Traffic flow prediction is critical for Intelligent Transportation Systems to alleviate congestion and optimize traffic management. The existing basic Encoder-Decoder Transformer model for multi-step ...

The company will also preview its Pro Convert Xmit AIO, the first member of the Xmit family, at Infocomm. The streaming encoder/decoder is a standalone device that converts one channel of SDI or HDMI ...

Next-generation U-Net Encoder: Decoder for accurate, automated CTC detection from images of peripheral blood nucleated cells stained with EPCAM and DAPI.. If you have the appropriate software ...

[Bug]: The shape of the kv cache in the FlashAttention component of the LLM model in Qwen2.5 is very strange. #17023 ...

A Solution: Encoder-Decoder Separation The key to addressing these challenges lies in separating the encoder and decoder components of multimodal machine learning models.

The brain encoder then learns to align MEG signals to these image embeddings. Finally, the image decoder generates a plausible image based on these brain representations.

Magewell introduced new Q-SYS plug-in integrations for the Pro Convert family of live IP video encoders and decoders. As a contributor to the Q-SYS Ecosystem, Magewell collaborated with Q-SYS to ...