What is very eye-catching today is $ETH
On the contrary, the old related ecology is good
Bought a bag of $UNI yesterday and it happened to be just before takeoff
$AAVE In fact, I stole it, and it was also a negative morning at the beginning
$Uni spot is gone, $pump got off yesterday is considered timely, but the repurchase is real money, maybe I will still consider it
$pengu did a few back and forth and I just left
Stepping back is an opportunity
The copycats are basically mainly on the Ether linkage plate
Today, the flatbread is a little deflated, I'll wait for another chance.
@River4fun
-Record a very ordinary night
Can't cut the video, alas
No twists, watch with confidence
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AI development has never been a track for small players, high-performance computers are the foundation, professional GPUs are just needed, a top graphics hardware aside, data is another hurdle. High-quality data is scarce, and cost and quality are difficult to achieve
@OpenledgerHQ It just solves the pain points of small and medium-sized developers.
Computing power problem: Traditional large models often eat up 40-50GB of memory, and OpenLoRA compresses memory occupation to 8-12GB through LoRA technology, and the cost plummets
At the same time, it will jointly @AethirCloud to create a decentralized GPU cloud with transparent pricing and much lower than the average market price
In terms of data challenges, it collects decentralized datasets contributed by the community, covering various fields such as law, medicine, and games, and can be called by developers on demand.
Who will share data selflessly?
The answer lies in the PoA mechanism - users can be rewarded with $OPEN for contributing high-quality data, and after developers use the data to train models, future revenue will be returned to data providers in proportion, and the platform plays a coordinating role
As for model customization, OpenLoRA allows developers to build directly based on the basic model shared by the community, quickly customizing industry-specific models like building blocks, avoiding reinventing wheels and greatly improving efficiency.
AI development has long been defined as a "game for the rich" by the computing power arms race of large manufacturers, and @OpenledgerHQ OpenLoRA has comprehensively lowered the threshold from computing power, data to model customization. Make "AI for everyone" possible.
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