

#488: Multimodal data with LanceDB
54 snips Dec 12, 2024
Chang She, CEO and co-founder of LanceDB, discusses the innovative open-source database tailored for AI, highlighting its application across companies like Midjourney. He explores the shift from traditional languages to Rust, the rise of unstructured data, and the implications for programming. The conversation delves into optimizing multimodal data lakes and efficient storage solutions, plus practical tips on integrating LanceDB into Python applications. Chang also emphasizes community engagement and the benefits of contributing to an evolving AI landscape.
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Rust Rewrite
- Chang She's team rewrote months of C++ code in Rust over a Christmas break.
- This "Rust pill moment" resulted in better performance and increased confidence due to Rust's safety features.
LLMs and Rust
- LLMs are helpful for Python and TypeScript, but less so for Rust.
- ChatGPT sometimes hallucinates Rust syntax, making it less reliable for that language.
Multimodal Data Defined
- Multimodal data encompasses non-tabular formats like images, videos, and PDFs.
- AI's strength lies in processing this unstructured data, creating new opportunities.