Encryption Breaking the “Unbreakable” Encryption – Part 2 In Part 1, we covered the “Safe” (Symmetric) and the “Mailbox” (Asymmetric). The TL;DR: we use…
Machine Learning Basics Seq2Seq Models: Basics behind LLMs When you use Google Translate to turn a complex English sentence into Spanish, or when you ask Gemini to summarize a…
Machine Learning Basics Making Sense Of Embeddings Post 2/N When you search on Amazon for “running shoes,” the system doesn’t just look for those exact…
Machine Learning Basics Measuring Meaning: Cosine Similarity Post 2b/N In the previous posts, we established that embeddings turn everything into points in space and that Word2Vec…
Model Intuition An Intuitive Guide to CNNs and RNNs When your phone recognizes “Hey Siri,” a CNN is probably listening. When Google Translate converts your sentence into…
Machine Learning Basics AI Paradigm Shift: From Rules to Patterns Post 1/N Every piece of software you’ve ever shipped or have seen shipped works the same way. A developer sits…
How Smart Vector Search Works By Archit Sharma 4 Min Read In the ever-evolving world, the art of forging genuine connections remains timeless. Whether it’s with colleagues, clients, or partners, establishing a genuine rapport paves the way for collaborative success. Read More