Fine-tuned LLMs on FDM formulation data recommend excipients and predict properties, with Llama2 performing best but exhibiting catastrophic forgetting and limited processability evaluation.
An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine -Tuning
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FormuLLA: A Large Language Model Approach to Generating Novel 3D Printable Formulations
Fine-tuned LLMs on FDM formulation data recommend excipients and predict properties, with Llama2 performing best but exhibiting catastrophic forgetting and limited processability evaluation.