Model Training and Optimization
- Conduct pre-training, fine-tuning, and continuous optimization of large language models (LLMs) to ensure high performance across various tasks.
- Develop and implement key technical solutions for data processing, feature extraction, hyperparameter tuning, and other aspects to enhance model performance.
Multilingual Adaptation
- Research and apply cross-lingual training strategies to meet diverse requirements in multilingual environments, ensuring the model's generalization capability.
- Design model architectures and data preprocessing solutions tailored to multiple languages, improving performance for low-resource languages.
R&D and Innovation
- Stay updated on the latest advancements and research in the LLM field, applying cutting-edge technologies to real-world projects.
- Collaborate with the R&D team to tackle technical challenges in large-scale model training, continuously optimizing and iterating solutions.
Performance Monitoring and Troubleshooting
- Establish and refine monitoring systems for the training process, promptly diagnosing and resolving bottlenecks.
- Analyze model performance metrics in depth, adjusting algorithms and hardware configurations to ensure training efficiency and output quality.
