How Does Pragna-1B Work?
Pragna-1B uses the power of transformers, a deep learning architecture that excels at NLP tasks. It’s a decoder-only model, meaning it focuses on generating text based on a given input.
- Input Processing: The user feeds text data in any of the supported languages (Hindi, English, Bengali, or Gujarati) into the model.
- Tokenization: Pragna-1B breaks down the input text into smaller units called tokens. These tokens can be words, characters, or even sub-word units.
- Encoding: The model encodes the tokens using techniques like positional encoding, capturing the meaning and context of each token within the sequence.
- Decoding and Text Generation: Using its internal layers and attention mechanisms, Pragna-1B decodes the encoded representation and generates text that aligns with the input and the chosen language.
Soket AI Partners Google Cloud To Launch Multilingual AI Model
Indian AI is witnessing a big step forward with the introduction of Pragna-1B. This new initiative is a collaboration between Soket AI Labs, a leading Indian AI research firm, and Google Cloud, the global tech giant. Pragna-1B is a game-changer designed specifically to bridge the language gap in India. As India’s first open-source multilingual AI model, Pragna-1B provides developers with cutting-edge Machine Learning (ML) and Natural Language Processing (NLP) capabilities.
Read In Short:
- Soket AI Labs partners with Google Cloud to unveil Pragna-1B, India’s first open-source multilingual AI model.
- Pragna-1B provides developers with advanced Multilingual Language Processing (MLP) capabilities, catering to Hindi, English, Bengali, and Gujarati.
- The open-source nature of Pragna-1B fosters collaboration and accelerates the development of Vernacular language AI solutions in India.
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