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garrit.xyz
| | blog.codefarm.me

[AI summary] This post explores the relationship between dimensionality and embedding models in machine learning, explaining their roles in data representation and how to optimize them for text-based knowledge base systems using Milvus.
3.7 parsecs

Travel
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| | tanelpoder.com

Disclaimer: I'm not an ML expert and not even a serious ML specialist (yet?), so feel free to let me know if I'm wrong! It seems to me that we have hit a bit of an "on-premises" vs. "on-premise" situation in the ML/AI and vector search terminology space. The majority of product announcements, blog articles and even some papers I've read use the term vector embeddings to describe embeddings, but embeddings already are vectors themselves! - Linux, Oracle, SQL performance tuning and troubleshooting training & writing.
5.2 parsecs

Travel
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| | www.danieldemmel.me

Part one of the series Building applications using embeddings vector search and Large Language Models
2.1 parsecs

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| | jilliancyork.com

[AI summary] The author discusses exchanging Signal contact information for networking purposes and reflects on their long-term use of the app for trusted messaging.
14.8 parsecs

Travel
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