Multimodal AI | Data Brew | Episode 42
Failed to add items
Sorry, we are unable to add the item because your shopping basket is already at capacity.
Add to cart failed.
Please try again later
Add to wishlist failed.
Please try again later
Remove from wishlist failed.
Please try again later
Follow podcast failed
Unfollow podcast failed
Multimodal AI | Data Brew | Episode 42
-
Narrated by:
-
Written by:
About this listen
In this episode, Chang She, CEO and Co-founder of LanceDB, discusses the challenges of handling multimodal data and how LanceDB provides a cutting-edge solution. He shares his journey from contributing to Pandas to building a database optimized for images, video, vectors, and subtitles.
Highlights include:
- The limitations of traditional storage systems like Parquet for multimodal AI.
- How LanceDB enables efficient querying and processing of diverse data types.
- The growing importance of multimodal AI in enterprise applications.
- Future trends in AI, including a shift from single models to holistic AI systems.
- Predictions and "spicy takes" on AI advancements in 2025.
adbl_web_anon_alc_button_suppression_c
No reviews yet