6d ago · 6 min read · TL;DR Vector databases (Pinecone, Weaviate, Chroma) store embeddings of your sensitive data, claiming they're "anonymized." They're not. Researchers proved original text can be reconstructed from embeddings with 85%+ accuracy. A single misconfigurati...
Join discussionJan 30 · 1 min read · I have always fancied writing a game for a retro console. Given my lack of artistic skills, graphics are usually an issue! So hopefully a vector based console will be a bit easier! Also, developing for a resource limited platform is more fun. Develop...
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Jan 29 · 6 min read · In the middle of AI Revolution, it is for sure that any industry it touches, it promises great innovations but also introduces new challenges. It is very important to have efficient data processing for all applications which involves Large Language M...
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Jan 26 · 18 min read · Your Python loops are lying to you about performance. That innocent for loop iterating through a million numbers takes 35 times longer than it should. The culprit is Python's dynamic typing and object overhead, and the solution has been hiding in pla...
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Jan 8 · 3 min read · Introduction In C++, managing memory manually using arrays can quickly become painful. Fixed sizes, manual resizing, and unsafe operations make traditional arrays error-prone.This is where std::vector comes in. A vector is a dynamic array provided by...
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Nov 7, 2025 · 8 min read · Welcome back to Beyond the Bit! Last week, we explored the mind-bending concepts of superposition and entanglement—the "what" of quantum computing. We realized that a quantum computer isn't just a faster classical computer; it relies on entirely diff...
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Sep 22, 2025 · 4 min read · Introduction In last week's blog, we covered the basics of discrete sets and explored the conceptual implications of deterministic,fixed-state classical systems. To make the necessary leap to quantum information, however, we must explicitly define th...
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Jul 5, 2025 · 2 min read · 🚀 Why This Topic Matters In machine learning, especially deep learning, matrices are everywhere: Your dataset? A matrix. Neural network weights? Matrices. Image data? Matrix of pixels. Understanding matrix operations helps you see how data moves, tr...
Join discussionJun 30, 2025 · 3 min read · In the previous blog, we explored the types of vectors in both mathematics and machine learning. In this post, let’s dive into vector operations and how they play out in real-world scenarios using Python. Defining vectors in python : [ Row vector and...
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Apr 19, 2025 · 8 min read · Summary : Traditionally what we had in natural language processing was the concept of encoding , which was the process of converting text into numbers which was in machine readable format.General encoding doesn't care about relationships. Embedding...
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