LangSmith now provides a structured workflow for managing datasets used to fine-tune LLaMA2 and GPT-3.5. The tool streamlines the transition from raw logs to curated training sets. Developers can now evaluate model performance against specific gold-standard examples. This reduces the manual overhead of dataset curation for specialized domain adaptation.