Biological structure and function emerge from unsupervised learning
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Explores pretraining sequence-to-sequence models with BART and T5, discussing transfer learning, fine-tuning, model architectures, tasks, performance comparison, summarization results, and references.
Explores the challenges and benefits of scaling language models, emphasizing the importance of scaling laws in estimating optimal model and dataset sizes.
