Vector Databases Explained
Understanding vector databases and embeddings is crucial for enhancing AI language models. They allow models to learn and remember information externally, bypassing the limitations of their own weights. This process enables seamless updates and deletions of knowledge, akin to downloading skills directly into a character's mind, making AI more adaptable and efficient.In this clip
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Unsupervised Learning
Chroma CEO Jeff Huber on Vector Databases, Multimodal Embeddings & Building an AI Startup
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