Multimodal AI | Data Brew | Episode 42
Data Brew by Databricks
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Navigating Multimodal Model Development
This chapter explores the shift in pre-training models as enterprises adapt to the increasing importance of multimodal data beyond traditional text sources. It highlights the integration of diverse data types, challenges in data quality, and innovative analytics methods needed to enhance model training. Additionally, the discussion contrasts open-source and proprietary models in processing multimodal data, illustrated through real-world use cases.
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