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Unsupervised Learning
Ep 14: Chroma CEO Jeff Huber on Vector Databases, Multimodal Embeddings & Building an AI Startup
Aug 1, 2023
48:42
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Quick takeaways
- Chroma aims to bridge the gap between demo and production systems by offering a seamless user experience from development to deployment through vector retrieval and search.
- The concept of multiple smaller agents working together holds great potential for solving problems and improving productivity in AI applications.
Deep dives
Chroma: A Simple Solution to Complex Problems
Chroma is an open-source vector database that offers a simple yet powerful solution for robust production systems in machine learning. By focusing on the geometry and topology of the latent space, Chroma aims to turn sexy demos into reliable applications. With a distributed version and a hosted offering in the pipeline, Chroma plans to make its developer-friendly API accessible for small and large production use cases. The future of embeddings also looks promising, with the potential for multimodal embeddings and fine-tuned embedding spaces. Despite concerns about AI regulation, Jeff Huber emphasizes that industry self-governance is crucial, while being mindful of the appropriate timing for regulations.
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