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The architecture of LLaMA 3 is largely similar to LLaMA 2, and these are the key points to understand the technical details. LLaMA 3 features components like Pre-normalization using RMSNorm, SwiGLU activation function, Rotary Embeddings (RoPE), and the Byte Pair Encoding (BPE) algorithm from the tiktoken library. These components play a crucial role in enhancing the performance of large language models like ChatGPT.
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