Our Mission
The Problem
The Problem
How we do it
How we do it
Current AI is built on an unstable foundation,
where efficiency is an afterthought.
The result? Billions of dollars wasted on
compute and resources, all to power
an inefficient and bloated foundation.
This isn't sustainable. So we are
tackling the root of the issue.
Current AI is built on an unstable foundation,
where efficiency is an afterthought.
The result? Billions of dollars wasted on
compute and resources, all to power
an inefficient and bloated foundation.
This isn't sustainable. So we are
tackling the root of the issue.
Preserve the future.
Make AI efficient.
Preserve the future.
Make AI efficient.
Learn More >
Astraea MX is the first model where
efficiency is the top priority.
We call our method Adaptive Language
Models (ALMs).
By dividing a single LLM into multiple subsections,
only one section remains active at a time.
Depending on the prompt, an ALM can respond
using less than 3% of its full size.
The potential? Up to 3000% more efficiency
(F1 score over computational score) than
current flagship models.
This is only the beginning. Our first model,
currently in closed beta, will be the world's
first fully reformed neural network.
Astraea MX is the first model where
efficiency is the top priority.
We call our method Adaptive Language
Models (ALMs).
By dividing a single LLM into multiple subsections,
only one section remains active at a time.
Depending on the prompt, an ALM can respond
using less than 3% of its full size.
The potential? Up to 3000% more efficiency
(F1 score over computational score) than
current flagship models.
This is only the beginning. Our first model,
currently in closed beta, will be the world's
first fully reformed neural network.
Learn More >