Fine-tuning, or other types of adaptation performed on foundation models after pretraining, are an equally important and complex step in model development. Fine-tuned models are more frequently deployed than base models. Here, we also link to some useful and widely-used resources for adapting foundation models or otherwise fine-tuning them.
![Finetuning Repositories for Foundation Model Training](/foundation-model-resources/model-training-finetuning-repositories/model-training-finetuning-repositories_hue992400c9d9984b097dc051ea69a8d6c_80051_736x0_resize_q90_h2_lanczos_3.webp)