#highlevel
- RoBERTa (Robustly Optimized BERT Pretraining Approach):
- RoBERTa: An optimized version of BERT that improved training techniques and achieved state-of-the-art results on several benchmarks.
- XLM (Cross-lingual Language Model): Designed for multilingual and cross-lingual tasks.
- XLM-R: An extension of XLM with larger datasets and improved multilingual capabilities.
- Optimized Pretraining: RoBERTa showed how tweaking pretraining approaches, such as removing the next sentence prediction task and increasing training data, can lead to better model performance.
- Multilingual Capabilities: XLM and XLM-R expanded the scope of LLMs to multiple languages, promoting cross-lingual understanding and applications.