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 for me
Won't cut videos alas
No turns, 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 piece of top-level display hardware is abandoned, and data is another hurdle. High-quality data is scarce, and cost and quality are difficult to complete
@OpenledgerHQ 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 the memory occupation to 8-12GB through LoRA technology, and the cost plummets
At the same time, we will work with @AethirCloud to build a decentralized GPU cloud, with transparent pricing and far lower than the average market price
In terms of data problems, it brings together decentralized datasets contributed by the community, covering multiple fields such as law, healthcare, and games, and developers can call them on demand.
Who will share data altruistically?
The answer lies in the PoA mechanism, where users can receive $OPEN rewards for contributing high-quality data, and after developers use data to train models, future revenues will be rewarded to data providers in proportion, and the platform plays a coordinating role
As for model customization, OpenLoRA allows developers to directly build based on the basic model shared by the community, and quickly customize industry-specific models like building blocks, avoiding reinventing wheels and greatly improving efficiency.
AI development has long been defined as a "rich man's game" by the computing power arms race of large manufacturers, and @OpenledgerHQ OpenLoRA has comprehensively lowered the threshold from computing power, data to model customization. Making "AI for Everyone" possible.
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