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RE: LeoThread 2024-10-04 10:07

Future Directions

The field of LLMs is rapidly evolving, with several future directions that are expected to shape the development of language models in the coming years. These include:

  • Multitask learning: The development of multitask learning algorithms that enable language models to learn multiple tasks simultaneously.
  • Transfer learning: The development of transfer learning algorithms that enable language models to fine-tune pre-trained models for specific tasks.
  • Explainability: The development of explainability techniques that enable language models to provide insights into their decision-making processes.