Generative AI has revolutionized content creation in diverse fields such as art, music, film, literature, and coding. Large Language Models (LLMs), like ChatGPT, have opened up new avenues for answering questions and generating text in response to natural language commands. However, LLMs face significant risks such as artificial intelligence hallucination, algorithmic biases, and the production of false or inaccurate information. I propose a few measures to mitigate these risks. By adopting these measures, we can enhance the trustworthiness and reliability of LLMs, ensuring that they fulfill their potential as powerful tools for content generation and knowledge dissemination.