How to Fine Tune Foundation Models to Auto-Label Training Data

Meta's Segment Anything Model (SAM) has provided benefits for data and ML teams by accelerating training data production and improving quality. The webinar aims to take this a step further by fine-tuning foundation models like SAM to maximize relevance to specific use cases, leveraging tools such as Encord Active GitHub and Google Colab Notebook, with additional resources available in the form of an ML Solutions Engineer's blog post on fine-tuning SAM.