LCLMs compress LLM context before decode — 8.8x faster at 16x compression, beating every KV cache method tested. Open-sourced by NYU and Columbia.

Today, virtually every cutting-edge AI product and model uses a transformer architecture. Large language models (LLMs) such as GPT-4o, LLaMA, Gemini and Claude are all transformer-based, and other AI ...

What Is An Encoder-Decoder Architecture? An encoder-decoder architecture is a powerful tool used in machine learning, specifically for tasks involving sequences like text or speech. It’s like a ...

Google Gemma 4 12B, released June 3, is an open-weight multimodal model that processes text, images, audio, and video in a ...

CAVG is structured around an Encoder-Decoder framework, comprising encoders for Text, Emotion, Vision, and Context, alongside a Cross-Modal encoder and a Multimodal decoder. Recently, the team led by ...

IPMX-ready video encoders and decoders that are based on COTS (commercial off the shelf) hardware have been launched by ...

Matrox Video has announced the launch of the Matrox Maevex MGX Series, a new lineup of IPMX-ready video encoders and decoders ...