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Related Questions
- What are the most common pre-training objectives used in unsupervised LLM training?
- How does the choice of pre-training objective affect the language understanding and generation capabilities of LLMs?
- Can you explain the difference between masked language modeling and next sentence prediction in pre-training objectives?
- How do pre-training objectives impact the ability of LLMs to generalize to downstream tasks?
- What are some potential drawbacks of using certain pre-training objectives, such as increased computational requirements or biased training data?
- How can the choice of pre-training objective be optimized for specific downstream tasks or applications?
- What are some emerging pre-training objectives that show promise for improving LLM performance, such as multi-task learning or few-shot learning?
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