FDM-Bench is a new benchmark dataset for evaluating LLMs on FDM tasks including user queries and G-code anomaly detection, with expert-assessed results showing closed-source models outperforming on anomaly detection and Llama-3.1-405B on queries.
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FDM-Bench: A Comprehensive Benchmark for Evaluating Large Language Models in Additive Manufacturing Tasks
FDM-Bench is a new benchmark dataset for evaluating LLMs on FDM tasks including user queries and G-code anomaly detection, with expert-assessed results showing closed-source models outperforming on anomaly detection and Llama-3.1-405B on queries.