Understanding and Mitigating LLM Hallucinations

LLM hallucination detection challenges and a possible solution presented in a prominent research paper

Recently, large language models (LLMs) have shown impressive and increasing capabilities, including generating highly fluent and convincing responses to user prompts. However, LLMs are known for their ability to generate non-factual or nonsensical statements, more commonly known as “hallucinations.” This characteristic can undermine trust in many scenarios where factuality is required, such as summarization tasks, generative question answering, and dialogue generations. …

ai llm machine learning mlops thoughts-and-theory