Practical research on what AI forgets

We study catastrophic forgetting and fine-tuning in large language models, and build practical tools around what we learn.

01

Catastrophic Forgetting

Mitigation strategies for continual learning in large language models.

02

Fine-Tuning

LoRA, QLoRA, adapter merging, and domain specialization workflows.

03

Real Implementations

Working toward usable tools, reproducible experiments, and open-source contributions.

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