Research, Mid-Training
Tasks
- Build and run training evaluations
- Design data mix and quality uplift
- Develop synthetic data pipelines
- Implement context length extension methods
- Iterate late stage training data
- Measure scaling with compute and data
- Optimize annealing and learning rate schedules
- Translate research insights into capability gains
Perks/Benefits
Skills/Tech-stack
Context Length Extension | Data Engineering | Deep learning | Distributed Training | Language Model | Large Language Model | Learning Rate | Learning Rate Scheduling | Machine Learning | Model Evaluation | Optimization | Positional encoding | PyTorch | Python | Statistics | Synthetic data
Education
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