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What comes after ChatGPT? Vector Databases - the Simple and powerful future of ML? - Erik Bamberg
Description:
Explore the future of machine learning beyond ChatGPT in this conference talk focusing on vector databases. Delve into the significance of vector database projects like Weaviate, Pinecone, and Chroma, which have recently secured substantial funding. Discover the concept of vector databases and their crucial role in shaping the future of AI and machine learning. Examine real-world use cases to understand the potential of vectors and vector databases in defining and implementing machine learning business applications. Gain practical insights through a hands-on demonstration using open-source tools, illustrating how to leverage this new generation of databases. Learn how vector databases can complement ChatGPT and help overcome some of its limitations, providing a comprehensive view of the evolving landscape of AI technologies.

Vector Databases - The Simple and Powerful Future of Machine Learning After ChatGPT

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