klotz: llm* + evaluation* + deep learning* + transformers* + machine learning* + self-tuning*

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  1. Discusses the trends in Large Language Models (LLMs) architecture, including the rise of more GPU, more weights, more tokens, energy-efficient implementations, the role of LLM routers, and the need for better evaluation metrics, faster fine-tuning, and self-tuning.

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