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mlops.community | ||
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www.onehouse.ai
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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. | |
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blog.pdebruin.org
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| | | | | Retrieval Augmented Generation Hackathon starts on September 3. Repo with more info, stream schedule, samples, registration: https://aka.ms/raghack Large language models are powerful language generators, but they don't know everything about the world. RAG combines the power of large language models with the knowledge of a search engine. This allows you to ask questions of your own data, and get answers that are relevant to the context of your question. LLM AI YouTube playlists Thanks for reading! :-) | |
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bdtechtalks.com
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| | | | | Retrieval augmented generation (RAG) enables you to use custom documents with LLMs to improve their precision. | |
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blog.lukaszwojcik.net
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| | | Quick step-by-step recipe on how to deploy Eleventy site inside a subdirectory. | ||
