DKL method for instruction-tuned language models
DKL avoids expensive instruction fine-tuning while preserving instruction-following capabilities, making it more practical for real-world applications.
DKL avoids expensive instruction fine-tuning while preserving instruction-following capabilities, making it more practical for real-world applications.