The AI research community continues to find new ways to improve large language models (LLMs), the latest being a new architecture introduced by scientists at Meta and the University of Washington.

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 ...

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

Traditionally, plant genomics has grappled with the intricacies of vast and complex datasets, often limited by the specificity of traditional machine learning models and the scarcity of annotated data ...