Meta bets on India's AI talent with Llama 3.1, Hindi support
As competition in the artificial intelligence (AI) space heats up with players like OpenAI and Google, Facebook parent Meta is turning to India's expanding AI developer base.
Meta's newly released Llama 3.1 model, introduced on July 25, includes support for Hindi and seven other languages. It will be offered in three variants: a flagship model with 405 billion parameters, along with updated versions of existing 8 billion and 70 billion parameters.
Parameters are essentially the 'knowledge' the model acquires during its training, with more parameters typically leading to better performance due to increased contextual understanding.
Support for Indian Languages
Ragavan Srinivasan, Meta's vice president of product management, mentioned that languages are a crucial element for developers building on the company's base model, with Hindi being the first of many languages.
"Ultimately, we want to provide a strong foundation in a bunch of different languages and then give that as a base for local developers to customize it and fine-tune it based on their needs," Srinivasan said.
The firm has also expanded the context window to 128,000 tokens, a significant increase from the previous window size of 8,192 tokens. The context window size determines how much data—be it words, images, videos, audio, or code—a model can process at once.
India is witnessing a growing demand for AI solutions across various sectors, and Meta's investment in supporting Hindi and other languages indicates its focus on tapping into India's AI talent pool.
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