Google Gemini, like other large language models, exhibits variable accuracy. While it can provide highly accurate information for many tasks, especially those involving language generation, summarization, and creative writing, its reliability diminishes with complex or niche factual queries. It is prone to "hallucinations," meaning it can confidently present incorrect or fabricated information as fact, a common limitation across advanced AI. Therefore, for critical or factual purposes, its outputs always require human verification. Its performance is also continually evolving with ongoing updates and further training data, striving for improved precision and reduced errors. Essentially, Gemini is a powerful tool, but its accuracy should be approached with an understanding that it's a probabilistic language model, not an infallible knowledge base. More details: https://skvagena.com.ua