LangSmith now integrates dataset management tools specifically for fine-tuning LLaMA2 and GPT-3.5. The platform streamlines the transition from raw logs to curated training sets. Developers can now evaluate model performance against gold-standard datasets in one place. This reduces the manual overhead of cleaning data before starting a fine-tuning run.