In machine learning, training Large Language Models (LLMs) has become a common practice after initially being a specialized effort. The size of the datasets used for training grows along with the need for increasingly potent models. Recent surveys indicate that the total size of datasets used for pre-training LLMs exceeds 774.5 TB, with over 700 … Continue reading "Handling Large Datasets in LLM Training: Distributed Training Architectures and Techniques" The post Handling Large Datasets in LLM Training: Distributed Training Architectures and Techniques appeared first on Just Total Tech.

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