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Training Llama-3 with Bengali Data: A GPU-Optimized Approach using Unsloth

  • Llama-3, a language model, was trained on a Bengali dataset using Unsloth for optimizing GPU usage.
  • Bengali, being the seventh most spoken language, lacks high-quality NLP resources.
  • The training process involved using the Bengali dataset, formatting prompts, and optimizing GPU usage with Unsloth.
  • The results showed that Llama-3 can accurately understand and generate Bengali text, contributing to Bengali NLP development.

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