Entrar
insight - Fine-tuning Large Language Models
Platypus: Fine-Tuned Large Language Models Achieving Top Performance
Platypus family of fine-tuned LLMs excels in performance metrics, offering efficient training and strong results.
Adapting Large Language Models for Content Moderation: Pitfalls in Data Engineering and Supervised Fine-tuning
The author argues that incorporating reasoning processes during fine-tuning of Large Language Models can enhance model robustness and overcome overfitting, even without directly outputting reasoning processes during deployment.
Produtos | Recursos
© 2024 by Linnk AI