By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" ...

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, ...

Artificial intelligence has many uses in daily life. From personalized shopping suggestions to voice assistants and real-time fraud detection, AI is working behind the scenes to make experiences ...

In recent years, the big money has flowed toward LLMs and training; but this year, the emphasis is shifting toward AI ...

AI training uses large datasets to teach algorithms, increasing AI capabilities significantly. Better-trained AI models respond more accurately to complex prompts and professional tests. Evaluating AI ...

The open-source software giant Red Hat Inc. is strengthening the case for its platforms to become the foundation of enterprises’ artificial intelligence systems with a host of new features announced ...

In this podcast, we look at storage and artificial intelligence (AI) with Jason Hardy, chief technology officer for AI with Hitachi Vantara. He talks about the performance demands on storage that AI ...