Large language models are routinely described in terms of their size, with figures like 7 billion or 70 billion parameters ...
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 ...
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 ...
Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...