LLM Fine-tuning and Adaptation

5 repos

Libraries and techniques for adapting large language models through parameter-efficient fine-tuning methods like LoRA, as well as multimodal extensions that combine vision and language capabilities. The cluster emphasizes PyTorch-based implementations for customizing pretrained models without full retraining, with particular focus on practical applications like vision-language models and specialized domain adaptation.