The Future of Transformer Design for LLMs
Large language models (LLMs) are a major advancement in AI, with the promise of transforming domains through learned knowledge. LLMs are based on the transformer architecture, which uses self-attention to encode and decode sequences of tokens. Transformer models have been growing rapidly in size and complexity, reaching billions of parameters and requiring massive amounts of […]
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