What Are the Challenges of Implementing NMT in Nanotechnology?
1. Data Availability: High-quality, domain-specific datasets are necessary to train effective NMT models. 2. Complexity: Nanotechnology involves intricate and highly specialized vocabulary, which can be challenging for NMT systems to master without extensive training. 3. Resource Intensity: Training and running NMT models require substantial computational resources.
