MiniMax-M1 presents a flexible option for organizations looking to experiment with or scale up advanced AI capabilities while managing costs.

Over the past decades, computer scientists have introduced increasingly sophisticated machine learning-based models, which ...

Abstract: Approximating a divergence between two probability distributions from their samples is a fundamental challenge in the statistics, information theory, and machine learning communities, ...

As adversaries weaponize misinformation and cyber attacks escalate, the United States faces a new frontier: how to develop smarter systems using machine learning without compromising ... As noted in ...

Abstract: LLC small-signal model ... (i.e., output voltage and switching frequency). The coefficients are fitted using a sparse linear combination of functions in data-driven fashion (via simulation) ...

and Sonnet 4 at $3/$15 per million tokens (input/output). Tokens are the raw bits of data that AI models work with. A million tokens is equivalent to about 750,000 words — roughly 163,000 words ...