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www.codecentric.de
| | bdtechtalks.com
2.5 parsecs away

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| | Retrieval augmented generation (RAG) enables you to use custom documents with LLMs to improve their precision.
| | andrevala.com
2.1 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.onehouse.ai
2.4 parsecs away

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| | Onehouse can host your vector embeddings, at low cost and with great performance. You can then move only needed vectors to a vector database for vector search use cases.
| | justmuddlingthroughlife.co.uk
5.0 parsecs away

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| I was just ten when my mum told me fearfully about Blackwood Forest. So many stories, scary events, disappearances.