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Vector databases for machine learning
Practical AI: Machine Learning, Data Science, LLM
Machine Learning and Machine Learning Tools
Gotce: We have been doing machine learning basically on vectors is input. And we used to about them as features that we would handcraft. As time progressed and deep learning gain more and more attraction, more centrality in the ai world, crafting those features became een of itself a machine learning problem. So now you have imbedding. These imbeddings are these, like, auto generated features, like sematically deep reacher features for objects. Gotce: One of the main things that led me to start pine cone was that if you look at any projection and any current statistic on data in the world, the vast majority of it is not schematized.
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