Building Mixtrain - Platform to build task specific models. Focus on multimodallity usecase - video, image, robotics. Covers the entire post training life cycle - data management & curation, training, Eval & rollout.
Models are the new software. And just like software, three general-purpose ones won't be enough. Why specialized models are inevitable https://mixtrain.ai/blog/special-models
Here's how Mixtrain can help:
- Multimodal dataset management: version, query, inspect, and curate image/video/3D datasets
- Workflows & models: train and run your models on serverless GPUs. Run experiments rapidly and ship to production. Access 100s of external models through the same API.
- Live eval: create instant evals from your datasets with side-by-side comparison of anything — images, time-synced video, 3D/4D visualizations, masks, and more. Here's an example video eval https://app.mixtrain.ai/s/eVRwOcb7KhUZOb9xbFFgfHIuF0jyJUaBT6TKNg19OfU. Evals stay current as your datasets evolve.
Supporting multiple backends (especially Jax) is nice! Makes experimenting/migrating between them so much more approachable. Any timeline on when can we expect support for distributed Jax training? The doc currently seems to indicate only TF is supported for distributed training.
Models are the new software. And just like software, three general-purpose ones won't be enough. Why specialized models are inevitable https://mixtrain.ai/blog/special-models
Here's how Mixtrain can help:
You can explore more at https://mixtrain.ai/docs