Thejesh GN

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.

Tagged: Indic Models

Compare Matrix for Kannada Kasturi. 0

Technology

Building kannada-kasturi-embeddings

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...

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Technology

Embedding models for Kannada

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...

Sarvam Translate, translating a story. 1

Technology

First Impressions of Sarvam Indic Translate Model

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...

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Technology

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Speech Note: App for Offline Speech to Text, TTS, and Translation

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 very expensive and closed. In recent years, few models can run locally and do...