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 software in an AI system that does processing for the user. A peculiar name for sure; however, the inference term dates back to very early AI systems and it has not gone away. Also called "AI ...

The focus of artificial-intelligence spending has gone from training models to using them. Here’s how to understand the difference—and the implications.

“I get asked all the time what I think about training versus inference – I'm telling you all to stop talking about training versus inference.” So declared OpenAI VP Peter Hoeschele at Oracle’s AI ...

The centralized mega-cluster narrative is seductive – but physics, community resistance, and enterprise pragmatism are ...

Inference is rapidly emerging as the next major frontier in artificial intelligence (AI). Historically, the AI development and deployment focus has been overwhelmingly on training with approximately ...

The AI industry stands at an inflection point. While the previous era pursued larger models—GPT-3's 175 billion parameters to PaLM's 540 billion—focus has shifted toward efficiency and economic ...

Nvidia is reportedly developing a specialized processor aimed at accelerating AI inference, a move that could reshape how companies like OpenAI deploy their models. The push comes as Nvidia has also ...