Generates Amazing Synthetic data that beats real data!
What do you like best about the product?
synthetic data is a very important need while building data science solutions
Jaxon has a platform of multiple state of the art algorithms (LMs, VAEs, heuristics)
- simply put your real data, and voila the synthetic data is ready.
- improves model performance and developer productivity
Currently looking forward to try out their custom LLM solution.
Jaxon has a platform of multiple state of the art algorithms (LMs, VAEs, heuristics)
- simply put your real data, and voila the synthetic data is ready.
- improves model performance and developer productivity
Currently looking forward to try out their custom LLM solution.
What do you dislike about the product?
- the synthetic data is domain restricted. No speech and image.
- the metrics to evaluate synthetic data are restricted. Need more qualitative evaluations
- need better collaboration and data ingestion pipelines.
- need a better way to interact with the platform via APIs.
They're going in the right direction, and I think the feedback is addressable in the coming versions
- the metrics to evaluate synthetic data are restricted. Need more qualitative evaluations
- need better collaboration and data ingestion pipelines.
- need a better way to interact with the platform via APIs.
They're going in the right direction, and I think the feedback is addressable in the coming versions
What problems is the product solving and how is that benefiting you?
Makign synthetic data for generating out of distribution data
Synthetic tabular data to improve custom VAE generator (TabularGAN)
Synthetic data for running test cases in internal Dev environments
Synthetic tabular data to improve custom VAE generator (TabularGAN)
Synthetic data for running test cases in internal Dev environments
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