Researchers introduce Pythia, a suite of 16 large language models trained on public data, to study their development and evolution.
Pythia provides public access to 154 checkpoints for each model and tools to reconstruct their training data, enabling research in areas like memorization, few-shot performance, and reducing biases.
Key terms:
Pythia: A suite of 16 large language models used to study their development and evolution.
Checkpoints: Intermediate saved states of a model during training, which can be used for further study.
Training data: The data used to teach a model to perform a specific task or generate an output.
Few-shot performance: The ability of a model to complete a task with only a few examples.