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Efficient Foundation Model Survey is a comprehensive analysis of resource-efficient large language models (LLMs) and multimodal foundation models. The survey covers algorithmic and systemic innovations to support the growth of large models in a scalable and environmentally sustainable way. It explores cutting-edge model architectures, training/serving algorithms, and practical system designs. The goal is to provide insights on tackling resource challenges posed by large foundation models and inspire future breakthroughs in the field.

Builds progressive CrossFit plans for hockey endurance.

Your personal physical trainer. Ask ChadGPT anything related to fitness, lifting, workouts, the gym, cross-fit, calisthenics, muscle growth, nutrition, etc.