OpenAI JukeboxOpenAI
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About
Light up the black box and pip install 3LC to gain the clarity you need to make meaningful changes to your models in moments. Remove the guesswork from your model training and iterate fast. Collect per-sample metrics and visualize them in your browser. Analyze your training and eliminate issues in your dataset. Model-guided, interactive data debugging and enhancements. Find important or inefficient samples. Understand what samples work and where your model struggles. Improve your model in different ways by weighting your data. Make sparse, non-destructive edits to individual samples or in a batch. Maintain a lineage of all changes and restore any previous revisions. Dive deeper than standard experiment trackers with per-sample per epoch metrics and data tracking. Aggregate metrics by sample features, rather than just epoch, to spot hidden trends. Tie each training run to a specific dataset revision for full reproducibility.
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About
We’re introducing Jukebox, a neural net that generates music, including rudimentary singing, as raw audio in a variety of genres and artistic styles. We’re releasing the model weights and code, along with a tool to explore the generated samples. Provided with genre, artist, and lyrics as input, Jukebox outputs a new music sample produced from scratch. Jukebox produces a wide range of music and singing styles and generalizes to lyrics not seen during training. All the lyrics below have been co-written by a language model and OpenAI researchers. When conditioned on lyrics seen during training, Jukebox produces songs very different from the original songs it was trained on. We provide 12 seconds of audio to condition on and Jukebox completes the rest in a specified style. We chose to work on music because we want to continue to push the boundaries of generative models. Jukebox’s autoencoder model compresses audio to a discrete space, using a quantization-based approach called VQ-VAE.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Developers and professionals seeking a solution to improve their model training operations
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Audience
Anyone seeking a tool to generates music samples, including rudimentary voice-oriented music tracks
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Pricing
No information available.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company Information3LC
3lc.ai/
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Company InformationOpenAI
Founded: 2015
United States
openai.com/blog/jukebox/
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Categories |
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Integrations
Microsoft Azure
Amazon Web Services (AWS)
Apache Arrow
Apache Parquet
Google Cloud Platform
Google Colab
Hugging Face
Jupyter Notebook
NumPy
OpenAI
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Integrations
Microsoft Azure
Amazon Web Services (AWS)
Apache Arrow
Apache Parquet
Google Cloud Platform
Google Colab
Hugging Face
Jupyter Notebook
NumPy
OpenAI
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