What are common pitfalls when using Generative AI for cross-lingual text generation

Question

With the help of python programming can you tell me What are common pitfalls when using Generative AI for cross-lingual text generation?

Answer 1

Common pitfalls in cross-lingual generative AI include mistranslations, cultural biases, loss of nuance, and lack of context adaptation. Here is the code snippet you can refer to:

In the above code, we are using the following key points:

• Uses MarianMT for neural machine translation.
• Loads a pre-trained Helsinki-NLP model for English-to-French translation.
• Ensures input text is tokenized, padded, and truncated properly.
• Generates translated text using the model's decoder.

Hence, using a reliable translation model helps mitigate errors, but careful evaluation is required to address context, cultural nuances, and biases in cross-lingual AI.