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Related Questions
- How do training objectives like maximum likelihood estimation and masked language modeling impact a model's ability to learn and adapt over time?
- What role does the choice of loss function play in determining a model's capacity for self-improvement and lifelong learning?
- How do objectives like next sentence prediction and question answering influence a model's ability to learn from feedback and correct its own mistakes?
- Can you explain how the concept of curiosity-driven learning relates to a model's capacity for self-improvement and lifelong learning?
- How do models like Meta-Learning and Few-Shot Learning enable a model to learn from a small number of examples and adapt to new tasks?
- What is the relationship between transfer learning and a model's capacity for self-improvement and lifelong learning?
- Can you discuss how the use of reinforcement learning and intrinsic motivation can be used to encourage a model to explore and learn from its environment?
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