GenAI Productionize 2.0: The premier conference for GenAI application development
Debugging machine learning data can be a grueling task, but with Galileo, you can debug your data 10x faster. Sign up for our workshop to how to debug machine learning data using Galileo:
Introduction:
Data Collection:
Data Preprocessing in Pre-training:
Data Debugging:
Model Evaluation:
Conclusion:
By the end of this workshop, participants will have a comprehensive understanding of the process of debugging machine learning data and the tools and techniques they can use to tackle the common challenges they may encounter.
Natural Language Processing
Computer Vision (Images)
Structured Data
We are a Machine Learning Data Quality Intelligence Tool.
Using Galileo you can inspect and fix data quality errors in all stages of the ML process. Our team at Galileo had first-hand experience working on large-scale Machine learning projects at Uber Michaelangelo and Google Ai. It’s no wonder they turned their experience into an obsession to fix the data quality issues.
Where does Galileo fit in the ML Workflow?
At our core, we believe that together we can create a better, more productive, bias-free future for the world by focusing on high-quality data.
Use Galileo to save time and focus on far more enjoyable and challenging tasks- get started in our free community offering.
Join our slack to share your thoughts on this data quality hurdle.
Working with Natural Language Processing?
Read about Galileo’s NLP Studio