Discover the cutting-edge methodologies for preventing hallucinations in large language models (LLMs) used for chatbot development. This talk highlights the journey and key learnings from creating a custom chatbot, emphasizing the deployment of anti-hallucination strategies. Over the session you will explore the causes of LLM hallucinations, their impact on user trust, and effective strategies to mitigate them. This session offers a comprehensive toolkit for developers and researchers aiming to enhance the reliability of LLM applications, ensuring your projects maintain accuracy and credibility.