Notes on model behavior, evals, data quality, synthetic data, agents, inference, and foundation model infrastructure.
Areas of interest
- Evaluation methodology and benchmark design
- Data quality and curation for training and fine-tuning
- Synthetic data generation and validation
- Inference optimization and serving infrastructure
- Model behavior analysis and failure modes
Notes
Notes and writeups coming soon.