> Mamba-3 is a new state space model (SSM) designed with inference efficiency as the primary goal — a departure from Mamba-2, which optimized for training speed. The key upgrades are a more expressive recurrence formula, complex-valued state tracking, and a MIMO (multi-input, multi-output) variant that boosts accuracy without slowing down decoding.
Why can’t they simply say -
Mamba-3 focuses on being faster and more efficient when making predictions, rather than just being fast to train like Mamba-2.
E-Reverance•1h ago
The first sentence basically does though, no?
robofanatic•41m ago
Of course my only objection was the language. LLMs are now old enough to leave the jargon behind and talk in simple easy to understand terms.
esquire_900•1h ago
This is sort of what their first sentence states? Except your line implies that they are fast in training and inference, they imply they are focusing on inference and are dropping training speed for it.
It's a nice opening as it is imo
nl•1h ago
I'm looking forward to comparing this to Inception 2 (the text diffusion model) which in my experience is very fast and reasonably high quality.
cubefox•4m ago
Mamba-3 is an architecture while diffusion is, I believe, a type objective function. So these are not mutually exclusive and generally not comparable.
robofanatic•1h ago
Why can’t they simply say -
Mamba-3 focuses on being faster and more efficient when making predictions, rather than just being fast to train like Mamba-2.
E-Reverance•1h ago
robofanatic•41m ago
esquire_900•1h ago
It's a nice opening as it is imo