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You are here		www.danieldemmel.me Understanding embeddings and how to use them for semantic search
\|	\|	andrevala.com TWIL: September 10, 2023 - André Vala	0.8 parsecs away Travel
\|	\|	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!	0.8 parsecs away Travel
\|	\|	shekhargulati.com Making sense of screenshots with CLIP model embeddings - Shekhar Gulati	1.6 parsecs away Travel
\|	\|	Today I was reading Chapter 9 "Multimodal Large Language Models" of Hands-On Large Language Models book and thought of applying it to a problem I face occassionally. The chapter covers CLIP model and how you can use them to embed both text and images in the same vector space. Like most normal humans, I take...	1.6 parsecs away Travel
\|	\|	www.singlestore.com A Beginner's Guide to Vector Embeddings	2.3 parsecs away Travel
\|	\|	Wondering what vector embeddings are? Dive into this beginner's guide to understand their concept, applications and implementation.	2.3 parsecs away Travel
\|	\|	simonwillison.net Building search-based RAG using Claude, Datasette and Val Town	23.7 parsecs away Travel
\|		Retrieval Augmented Generation (RAG) is a technique for adding extra "knowledge" to systems built on LLMs, allowing them to answer questions against custom information not included in their training data. ...	23.7 parsecs away Travel