Mamba-3
together.ai
Mamba-3
1–10 of 59 posts
Re: Mamba-3
#2> 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.
Re: Mamba-3
#3> 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…
The first sentence basically does though, no?
Re: Mamba-3
#4I'm looking forward to comparing this to Inception 2 (the text diffusion model) which in my experience is very fast and reasonably high quality.
Re: Mamba-3
#5> 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…
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
Re: Mamba-3
#6> 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…
The first sentence basically does though, no?
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.
Re: Mamba-3
#7I'm looking forward to comparing this to Inception 2 (the text diffusion model) which in my experience is very fast and reasonably high quality.
Mamba-3 is an architecture while diffusion is, I believe, a type of objective. So these are not mutually exclusive and therefore not comparable.
Re: Mamba-3
#8> 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…
I don't get the downvotes, as I had trouble understanding the intro as well. It seems it was written for a very specific audience.
Re: Mamba-3
#9> 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…
The blog is technical, technical terms in the TL;DR seems relevant to me.
Re: Mamba-3
#10> 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…
I don’t know why you’re being downvoted. As a longtime editor your version is immensely better.
Looks like the original was probably not human-written.