Google's 'DiffusionGemma' Is A Diffusion-Based LLM That Rethinks Text Generation With Bidirectional Attention

Large language models (LLMs) are very capable, but their autoregerresive approach has one big weakness.

Large language models (LLMs) are very capable, but their autoregerresive approach has one big weakness.

Creating an avatar can be both easy and hard, depending on how complex that avatar is going to be.

The competition to develop capable large language models (LLMs) has defined much of recent progress in AI.

Google Translate began its journey in 2006 as a statistical machine translation service.

Videos not only can have different resolutions but also different aspect ratios.

In recent years the development of large language models (LLMs) has unfolded as a fast moving competition among several major players.

Instagram has introduced a new capability that permits users to manually adjust the arrangement of posts appearing on their profile grids.

Imagine trying to chase down a question that refuses to stay simple. It starts with one fact on a webpage, branches into a financial report, loops back through a patent filing.

The competition among developers of large language models (LLMs) has intensified in recent years.

Who says AI chatbots can't be social?