largely based on encoder-decoder neural networks, achieve impressive

results in translating languages and generating image descriptions, but their performance is inconsistent, often failing to capture nuances and context. The evaluation methods used to assess these systems—like BLEU scores and human ratings—are flawed and can be misleading. Ultimately,

while these technologies are improving and useful, they lack genuine

understanding and remain fundamentally unreliable without human

oversight.