6d ago · 11 min read · Here is the weirdest thing modern AI does, and nobody talks about it enough. If you ask an AI system about the word "king," somewhere deep in its guts, the word isn't stored as a word at all. It's stored as a list of numbers. A long list — maybe 768 ...
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6d ago · 5 min read · Google recently dropped its new family of open-source AI models, Gemma 4, but the variant that truly captured my interest is Gemma-4-26B-A4B-IT. The question is: how can a 26 billion parameter model o
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Apr 8 · 6 min read · This post is based on How Embeddings Actually Work by Claudius Papirus — Episode 5 of the "How AI Actually Works" course. Take the word king. Subtract man. Add woman. You get queen. That's not a metaphor. That's real arithmetic, done on real number...
Join discussionApr 7 · 10 min read · What if an AI could recall an entire book's worth of information in a single thought? The llm context window arxiv defines the maximum text an LLM processes at once, a critical limit for AI memory. Innovations shared on arXiv are rapidly expanding th...
Join discussionApr 7 · 8 min read · Could a language model truly "remember" an entire novel and discuss its nuances chapter by chapter? Modern AI is rapidly approaching this capability, thanks to advancements in large context window LLMs. These models are redefining the boundaries of a...
EAli commentedApr 7 · 10 min read · Embedding models for RAG are fundamental components that enable retrieval augmented generation (RAG) systems to perform effective semantic search. These models convert text into high-dimensional numerical vectors, known as embeddings, where semantica...
Join discussionApr 7 · 11 min read · The Crucial Role of Embedding Models in AI Memory Systems As artificial intelligence systems become more sophisticated, the ability to effectively store, retrieve, and use past experiences, memory, is paramount. While traditional databases excel at s...
Join discussionApr 3 · 3 min read · From my experience, when platforms like Hashnode remove a post, it is not always because the content is “wrong,” but because it looks like AI-generated or low-authenticity content. I’ve personally not
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Apr 3 · 2 min read · In many misinformation detection systems, developers often rely entirely on machine learning models. While these models can perform well, they usually lack interpretability, making it difficult to und
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