/explore
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geo.rocks | ||
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codeincomplete.com
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| | | | | Personal Website for Jake Gordon | |
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andrevala.com
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| | | | | This week I was mostly focused on Microsoft Fabric, but I also read interesting articles on Computer Vision, Azure AI Document Intelligence, Embeddings and Vector Search. I'm also recommending a few GitHub repos around AI topics, two papers related to Large Language Models and more. Happy learning! | |
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www.paepper.com
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| | | | | Every now and then, you need embeddings when training machine learning models. But what exactly is such an embedding and why do we use it? Basically, an embedding is used when we want to map some representation into another dimensional space. Doesn't make things much clearer, does it? So, let's consider an example: we want to train a recommender system on a movie database (typical Netflix use case). We have many movies and information about the ratings of users given to movies. | |
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lantern.dev
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| | | We give an overview of vector databases, and major concepts around them, including vector embeddings, vector indexing, and vector search. | ||
