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| Hienosäädetty vahvistusoppiminen× | Hienosäädetty BERT-pohjainen luokittelu× | |
|---|---|---|
| Tieteenala | Syväoppiminen | Syväoppiminen |
| Menetelmäperhe | Machine learning | Machine learning |
| Syntyvuosi≠ | 2017–2022 | 2019 |
| Kehittäjä≠ | Christiano, P. et al.; Ouyang, L. et al. | Devlin, J., Chang, M.-W., Lee, K., & Toutanova, K. (Google AI) |
| Tyyppi≠ | Policy adaptation via fine-tuning | Pre-trained transformer fine-tuned for classification |
| Alkuperäislähde≠ | Ouyang, L., Wu, J., Jiang, X., Almeida, D., Wainwright, C., Mishkin, P., Zhang, C., Agarwal, S., Slama, K., Ray, A., Schulman, J., Hilton, J., Kelton, F., Miller, L., Simens, M., Askell, A., Welinder, P., Christiano, P., Leike, J., & Lowe, R. (2022). Training language models to follow instructions with human feedback. Advances in Neural Information Processing Systems, 35, 27730–27744. link ↗ | Devlin, J., Chang, M.-W., Lee, K., & Toutanova, K. (2019). BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. Proceedings of NAACL-HLT 2019, 4171–4186. DOI ↗ |
| Rinnakkaisnimet | RL fine-tuning, policy fine-tuning, RLHF, reinforcement learning from human feedback | BERT fine-tuning, BERT classifier, fine-tuned BERT, BERT sequence classification |
| Liittyvät | 5 | 5 |
| Tiivistelmä≠ | Fine-Tuned Reinforcement Learning adapts a pre-trained policy or model to a new task or behavioral objective using reinforcement signals — including human feedback — rather than retraining from scratch. Popularized by RLHF, it is the core technique behind aligning large language models and adapting deep RL agents to specialized environments with minimal additional data. | Fine-Tuned BERT-based Classification adapts a pre-trained BERT transformer to a specific text classification task by adding a lightweight output layer and continuing gradient-based training on labelled examples. It consistently achieves near-state-of-the-art accuracy on sentiment analysis, topic categorisation, intent detection, and other NLP classification tasks with relatively small labelled datasets. |
| ScholarGateAineisto ↗ |
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