Training Compute-Optimal Large Language Models: DeepMind’s 70B Parameter Chinchilla Outperforms 530B Parameter Megatron-Turing | Synced
In the new paper Training Compute-Optimal Large Language Models, a DeepMind research team posits that current large language models are significantly undertrained and, based on empirical outcomes o...
Source: Synced | AI Technology & Industry Review
In the new paper Training Compute-Optimal Large Language Models, a DeepMind research team posits that current large language models are significantly undertrained and, based on empirical outcomes of over 400 training runs, proposes three predictive approaches for optimally setting model size and training duration.