AutoAdapt: Automated domain adaptation for large language models
At a glance
- Problem: Adapting large language models to specialized, high-stakes domains is slow, expensive, and hard to reproduce.
- What we built: AutoAdapt automates planning, strategy selection (e.g., RAG vs. fine-tuning), and tuning under real deployment constraints.
- How it works: A structured configuration graph maps