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blog.lukesalamone.com
| | www.danieldemmel.me
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| | Part one of the series Building applications using embeddings vector search and Large Language Models
| | michael-lewis.com
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| | An introduction to vector search (aka semantic search), and Retrieval Augmented Generation (RAG).
| | tomhazledine.com
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| | When working with LLM embeddings, it is often important to be able to compare them. Cosine similarity is the recommended way to do this.
| | jimmitchell.org
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| Lazy is as lazy does when it comes to making a buck or writing code.