It is not about how good your model is, it is about how good your data is. Good data builds models, great data solves problems, creating value for organizations. Excited to see @gretel_ai synthetic dataset still trending #1 on @huggingface with 130K+ datasets on the site 😀
Interesting perspective, @abebab! As a co-founder at @Gretel, a synthetic data startup- I think there's more to generative AI and synthetic data specifically, like its role in improving and debiasing our content. Would love to hear your take on this. https://t.co/tLrWzGWQ4q
For years, data access was binary: you either had it, or you didn't. But we've entered an era where this paradigm is evolving. Now the options are, access to data, no access to data, or access to high-quality and safe synthetic data.
We're really excited by @gretel_ai's approach to combining agent-based methods, LLMs, and synthetic data to enable natural language queries for databases and data warehouses, sans SQL.
more on the blog:
https://t.co/sOYBophRxL
Different synthetic data algorithms work better or worse depending on use case, input data, latency, volume, etc.
That's why tools like this are essential, as they let you make these decisions based on actual metrics.