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.
Table of Contents1 Word2Vec and FastText2 Data3 Build and Test4 TODO 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...
Table of Contents1 Open Weight Models1.1 nomic-embed-text-v2-moe1.2 paraphrase-multilingual1.3 bge-m31.4 snowflake-arctic-embed22 OpenAI Model2.1 text-embedding-3-large 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...
I have been searching for models that perform translations between Kannada and English and vice versa. I learned about the Sarvam Translate model, which seemed very promising. I tried it on their site before downloading the model directly to run locally. Model weights are available under GPL. Sarvam-Translate is an advanced translation model...
Table of Contents1 Speech to Text2 Text to Speech3 Translation4 Actions5 Settings6 Need help I’ve always dreamed of talking to computers. Cloud tools made it possible, but nothing beats doing it right on your machine. The first one I encountered that ran well locally was Dragon Speak. It worked pretty well but was...
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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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