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www.danieldemmel.me
| | andrevala.com
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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!
| | weisser-zwerg.dev
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| | Setting Up AI Models on Older Hardware - A Beginner's Guide to Running Local LLMs with Limited Resources
| | codeincomplete.com
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| | Personal Website for Jake Gordon
| | scorpil.com
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| In Part One of the "Understanding Generative AI" series, we delved into Tokenization - the process of dividing text into tokens, which serve as the fundamental units of information for neural networks. These tokens are crucial in shaping how AI interprets and processes language. Building upon this foundational knowledge, we are now ready to explore Neural Networks - the cornerstone technology underpinning all Artificial Intelligence research. A Short Look into the History Neural Networks, as a technology, have their roots in the 1940s and 1950s.