Introducing RL with Neural Feedback (RLNF). We have found reliable ways to train AI models to respond to human preferences purely from brain signals.
The example below is a picture of a face that self-transforms into a more attractive version for the subject as they are looking at it.
Instead of thinking of an AI project as a sequence of disconnected tasks, imagine keeping the entire creative process moving through one conversation. That's the idea behind Flova 1.5's multi-Skill workflow. You can tell the Agent what you want to achieve, let it plan the process, and continue making changes as the project develops. https://t.co/gW22B4Z9qr
Flova 1.5 | One Chat with Multiple Skills
One project. Multiple Skills.
Bring different Skills together in one creation!
- You set the goal. Agent plans the workflow.
- Mix and match Skills to explore different stories and styles.
- Refine your creations and take your ideas even further.
โจ Mix and Match Skills. Turn your ideas into videos, your way!
Flova 1.5 | One Chat with Multiple Skills
One project. Multiple Skills.
Bring different Skills together in one creation!
- You set the goal. Agent plans the workflow.
- Mix and match Skills to explore different stories and styles.
- Refine your creations and take your ideas even further.
โจ Mix and Match Skills. Turn your ideas into videos, your way!
Drop 1/15: Introducing Joy, a dual-channel conversational dataset.
Real, unscripted conversations between two people, each on their own track. Built to teach voice models how people actually talk: when to listen, when to jump in, when to say โhmmโ.
100,000 hours.
50,000 speakers.
10 languages.