Stanford CME295 Transformers LLMs | Autumn 2025 | Lecture 1 - Transformer | Anahita Tafvizi
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Maybe this concept killed the future GPU mafia! 🤯 They've open-sourced bitnet.cpp, a blazing-fast 1-bit LLM inference framework optimized for CPUs. This is a major step forward for running large models locally, without expensive GPUs or cloud costs. Key highlights: - Achieve up to 6x faster inference with 82% lower energy consumption - Run 100B parameter models directly on x86 CPUs - Leverage ternary weights (-1, 0, 1) and 8-bit activations to dramatically reduce memory usage Alongside this, Mi
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