Testing AI controlling AI with Hy3 Preview I barely lifted a finger the whole time.
One-click deployment of Hermes on WorkBuddy took some time with a few rounds of adjustments, and I finally got it up and running smoothly
Only minor issue was setting up Supermemory it was a bit slow on the uptake. I had to go over simple steps several times, guiding it patiently like teaching a kid.
The experience of AI orchestrating AI is absolutely incredible. started running Agents with Hunyuan right after its release, and it actually works perfectly.
295B parameters, 21B active parameters, with direct access to TokenHub now great cost-performance ratio too
Honestly, I used to get stuck on all kinds of environment configurations when deploying Agents locally. Using Hy3 to take command made the whole process way more streamlined.
Runway Gen-3 Alpha: The Style and Coherence Champion
Runway's latest video generation model, Gen-3 Alpha, is something special. It ranks #3 overall on our text-to-video human preference benchmark, but in terms of style and coherence, it outperforms even OpenAI Sora.
However, it struggles with alignment, making it less predictable for controlled outputs.
We've released a new dataset with human evaluations of Runway Gen-3 Alpha: Rapidata's text-2-video human preferences dataset. If you're working on video generation and want to see how your model compares to the biggest players, we can benchmark it for you.
I've been working on a Space to make it super easy to create notebooks and help users quickly understand and manipulate their data! With just a few clicks automatically generate notebooks for:
๐ Exploratory Data Analysis ๐ง Text Embeddings ๐ค Retrieval-Augmented Generation (RAG)
โจ Automatic training is coming soon! Check it out here asoria/auto-notebook-creator Appreciate any feedback to improve this tool ๐ค
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