Understanding the Hallucinations Parameter in Large Language Models (LLMs)
Large Language Models (LLMs) like OpenAI’s GPT, Google’s Gemini, and Meta’s LLaMA have demonstrated remarkable capabilities in generating human-like text, summarizing documents, answering questions, and more. However, they occasionally produce hallucinations—plausible-sounding but incorrect or fabricated information. To address and manage this, researchers have explored the concept of a “hallucinations parameter”—a theoretical or practical lever to […]
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