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Building LLMs from Scratch in Rust

RustGPT demonstrates creating transformers solely with Rust's ndarray for tensors, avoiding PyTorch/TensorFlow for performance and control.

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Key Concepts

  • Transformer Blocks: Self-attention, feed-forward layers.
  • Ndarray: Rust's N-dimensional array library for linear algebra.
  • No Dependencies: Pure implementation for portability.
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