LLM Foundations
Understanding Transformers and Tokenization in AI
Transformers have revolutionized how machines understand and generate language. Unlike traditional sequential models like RNNs, transformers leverage attention mechanisms, positional encoding, and parallel processing to efficiently analyze complex data and long text sequences. This blog explains the fundamental concepts behind transformers, tokenization techniques, embeddings, and the key algorithms that power modern large language models.
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