Conditional Attribute Estimation with Autoregressive Sequence Models

1. 1Train an autoregressive sequence model with a next-token prediction objective
2. 2Modify the training objective to estimate sequence-level properties
3. 3Use the trained model to estimate global attributes of generated samples
4. 4Evaluate the model's performance on downstream tasks
5. 5Fine-tune the model for specific applications

Machine learning engineers and researchers can benefit from this approach to improve their generative models' performance in downstream applications

💡 Autoregressive sequence models can be used to estimate sequence-level properties, reducing overfitting and underfitting

Improve generative models with autoregressive sequence models for sequence-level property estimation #AI #ML