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.
With
Finetuning or adaptation of foundation models is a complex step in model development. These models are more frequently deployed than base models. Here, we link to some useful and widely-used resources for finetuning.
neural-loop
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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.
With
Finetuning or adaptation of foundation models is a complex step in model development. These models are more frequently deployed than base models. Here, we link to some useful and widely-used resources for finetuning.