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 lantern.dev
Embeddings and choosing the right model | Lantern Blog
| | andrevala.com
TWIL: September 10, 2023 - André Vala
2.0 parsecs away

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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!
| | www.singlelunch.com
Embeddings from the Ground Up - Single Lunch
2.2 parsecs away

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| | This is the blog version of a talk of mine on embedding methods. It's the main slides and what I would say in the talk. Intended audience: Anyone interested in embedding methods. I don'...
| | unstructured.io
Choosing the right embedding model for your RAG application: a comprehensive guide - Unstructured
1.6 parsecs away

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| | Navigate the Massive Text Embedding Benchmark (MTEB) leaderboard with confidence! Understand the difference between Bi-Encoders and Cross-Encoders, learn how text embedding models are pre-trained and benchmarked, and how to make the best choice for your specific use case.
| | theartistbreakfast.com
Points - BREAKFAST
6.9 parsecs away

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| Points is a kinetic directional sign whose arms rotate to display time-relevant events, information, and highlighted locations in the nearby area.