RT @SubiaWaud: Messy few days going through issues with @QuasarModels, but a lot went right:
Root Reborn Explained :: The Biggest Economic Upgrade in Bittensor
What handles them:
Two things:
Image boss has been beaten!
Today in the @FinancialTimes: general-purpose models like Gemini, Claude and GPT managed a coin-flip 50% on expert work. A fine-tune trained on the e
Hash Rate - Ep. 179: Chutes PARALLAX $TAO
What if your fine-tuned model had to prove it was the best - by beating every other miner's model?
RT @amirsrtp: Top 3 out of 128?! Let’s gooo! 🥉 @gradients_ai is officially one of the healthiest, most rock-solid subnets on Bittensor. #SN…
What's a 10% improvement to the fine-tuning pipeline worth?
RT @QuasarModels: Subnet 56 @gradients_ai joins Subnets 24 and 3 in training Quasar models.
The boss got out-trained.
You can use gradients sdk to deploy your models to @TargonCompute, @lium_io, centralized clouds or to your local GPU https://t.co/oyohQV1PXL
RT @yanez__ai: Pure talent … bittensor @proofoftalk
SN56 goes brand.
Hash Rate - Ep. 162 - Tao Private Network (SN65)
Hash Rate - Ep 145 - TAO Subnets Templar (3), Basilica (39), Grail (81)
Hash Rate - Ep 139 - Sundae Bar: Subnet 121
Hash Rate - Ep 136 - Hone ($TAO Subnet 5) Chasing AGI
Hash Rate - Ep 128 - Ridges ($TAO Subnet 62)
Hash Rate - Ep 127 - Bitcast (sn93) TAO Media Subnet