Optimsyn: Influence-Guided Rubrics Optimization for Synthetic Data Generation

1. 1Identify the knowledge-intensive domain where synthetic data is needed
2. 2Determine the rubrics for evaluating the quality of synthetic data
3. 3Use Optimsyn to optimize the synthetic data generation process based on the influence-guided rubrics
4. 4Evaluate the performance of the large language model using the optimized synthetic data

AI researchers and engineers working on large language models can benefit from Optimsyn to generate high-quality synthetic data, which can improve model performance in knowledge-intensive domains

💡 Optimsyn can help address the scarcity of high-quality supervised fine-tuning data in knowledge-intensive domains by generating synthetic data that is tailored to the specific needs of the model

🚀 Optimsyn: optimizing synthetic data generation for large language models with influence-guided rubrics