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How to Fine Tune Foundation Models to Auto-Label Training Data
September 21, 2023
•60 min readBack to blogs
Foundation models, like Meta’s Segment Anything Model (SAM), have provided a host of benefits for data and ML teams looking to expedite the production of training data whilst improving the quality.
This webinar walks you through how to go one step further and fine-tune foundation models, in particular Meta AI's SAM, to maximize relevance to your specific use case
Here are the key resources from the webinar:
- Encord Active GitHub - our open source tool that allowed us to conduct our research
- The Google Colab Notebook used in yesterday’s session
- Our ML Solutions Engineer’s Fine-Tune SAM blog post
Written by Nikolaj Buhl
Nikolaj is a Product Manager at Encord and a computer vision enthusiast. At Encord he oversees the development of Encord Active. Nikolaj holds a M.Sc. in Management from London Business School and Copenhagen Business School. In a previous life, he lived in China working at the Danish Embas... see more
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