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lantern.dev
| | zackproser.com
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| | Embeddings models are the secret sauce that makes RAG work. How are THEY made?
| | andrevala.com
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.altexsoft.com
2.4 parsecs away

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| | A dive into the machine learning pipeline on the production stage: the description of architecture, tools, and general flow of the model deployment.
| | blog.quipu-strands.com
18.9 parsecs away

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| [AI summary] The text presents an extensive overview of Bayesian optimization techniques, focusing on their applications in black-box function optimization, including challenges and solutions such as computational efficiency, scalability, and integration with deep learning models. It also highlights key research contributions and references to seminal papers and authors in the field.