Model benchmarks are standard tests or sets of tasks used to measure and compare the performance of different machine learning models. These benchmarks provide a common ground for evaluating how well models handle specific challenges, such as recognising images, understanding language, or making predictions. By using the same tests, researchers and developers can objectively assess…

Model memory refers to the way an artificial intelligence model stores and uses information from previous interactions or data. It helps the model remember important details, context, or patterns so it can make better predictions or provide more relevant responses. Model memory can be short-term, like recalling the last few conversation turns, or long-term, like…