Large language models are routinely described in terms of their size, with figures like 7 billion or 70 billion parameters ...

Think back to middle school algebra, like 2 a + b. Those letters are parameters: Assign them values and you get a result. In ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Forbes contributors publish independent expert analyses and insights. Amir is Founder of AI unicorn Avathon & Boeing/SC JV, SkyGrid. In the late 1990s, as an undergrad at The University of Texas at ...

TransferEngine enables GPU-to-GPU communication across AWS and Nvidia hardware, allowing trillion-parameter models to run on older systems. Perplexity AI has released an open-source software tool that ...

When choosing a large language model (LLM) for use in a particular task, one of the first things that people often look at is the model's parameter count. A vendor might offer several different ...

In AI research, progress is often equated with size. But a small team at Samsung’s AI lab in Montreal has taken another approach that is proving to show great promise. Their new Tiny Recursive Model ...

Google’s open-source Gemma is already a small model designed to run on devices like smartphones. However, Google continues to expand the Gemma family of models and optimize these for local usage on ...

The hierarchical reasoning model (HRM) system is modeled on the way the human brain processes complex information, and it outperformed leading LLMs in a notoriously hard-to-beat benchmark. When you ...

Google has expanded its Gemma 3 series of open-weight AI models by introducing a 270-million-parameter variant designed to reduce power consumption for mobile applications. This new model offers a ...