The next generation of inference platforms must evolve to address all three layers. The goal is not only to serve models ...

The simplest definition is that training is about learning something, and inference is applying what has been learned to make predictions, generate answers and create original content. However, ...

The part of an AI system that generates answers. An inference engine comprises the hardware and software that provides analyses, makes predictions or generates unique content. In other words, the ...

AI inference uses trained data to enable models to make deductions and decisions. Effective AI inference results in quicker and more accurate model responses. Evaluating AI inference focuses on speed, ...

The global conversation around artificial intelligence (AI) often focuses on headline-grabbing breakthroughs, the launch of a new large language model (AI systems trained on huge volumes of text), a ...