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Multi-modal Foundational Models: The End of Data Labeling?
BST
About this webinar
In the rapidly evolving field of AI, the emergence of multi-modal foundational models represents a significant leap forward, potentially reshaping how we approach machine learning and data annotation pipelines.
Join us as we delve into the transformative impact of these models on the traditional processes of data labeling and curation.
- Real-world use cases for foundation models for your data pipelines
- A live demo of Meta's Segment Anything Model (SAM) and LLaVA 1.6
- What the future holds for foundation models
Speakers
Alexandre Bonnet
ML Solutions Lead
Encord
Nikolaj Buhl
Product Manager
Encord
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