A container for all my views with excerpts from technology, travel, films, books, kannada, friends and other interests. I am Thejesh GN, friends call me Thej.
Embeddings are numerical representations of real-world objects, such as words, phrases, text, images, audio, and video. Since the real world is so complex, these representations are usually vector arrays of floating-point numbers. This helps computers process meaning, context, and semantic relationships using distances and directions between vectors. Word2Vec and FastText Embeddings are learned...
FlavorGraph is a large-scale graph network that combines data from over a million recipes with chemical compound information from 1,500+ flavor molecules to predict ingredient pairings. It uses graph embedding methods to represent foods as dense vectors, enabling data-driven food pairing suggestions that go beyond human or chef intuition. In FlavorGraph, the chemical...
Embedding models transform words, sentences, documents, or digital items into vectors of numbers (usually floats) so that machines can understand and compare them semantically1. A good embedding model has enough information to capture the meaning and relationships in dense vector form. I have been using them to replace simple FTS, to implement sophisticated...
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Thejesh GN (ತೇಜೇಶ್ ಜಿ.ಎನ್) "Thej" is an Independent Technologist, Hacker, Maker, Traveler, Blogger, InfoActivist, Open data and Open internet enthusiast from Bangalore, India. He loves experimenting with all things life and hence some times he is called hacker and other times duct tape. You can read more about him here. Email [ i @ thejeshgn dot com]. PGP/GPG Keys are here.
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