Can We Drastically Reduce AI Training Costs? This AI Paper from MIT, Princeton, and Together AI Unveils How BitDelta Achieves Groundbreaking Efficiency in Machine Learning

Training Large Language Models (LLMs) involves two main phases: pre-training on extensive datasets and fine-tuning for specific tasks. While pre-training requires significant computational resources, fine-tuning adds comparatively less new information to the model, making it more compressible. This pretrain-finetune paradigm has greatly advanced machine learning, allowing LLMs to excel in various tasks and adapt to […]

The post Can We Drastically Reduce AI Training Costs? This AI Paper from MIT, Princeton, and Together AI Unveils How BitDelta Achieves Groundbreaking Efficiency …

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