Скачать или смотреть Why Large Language Models Hallucinate? - The Language Library

Why Large Language Models Hallucinate? In this informative video, we will discuss the phenomenon of hallucinations in large language models. These advanced systems, like GPT-3 and ChatGPT, can sometimes produce text that is inaccurate or nonsensical, which raises important questions about their reliability. We will break down the factors that contribute to these inaccuracies, including the nature of the training data, the architecture of the models, and the strategies used during text generation.

Additionally, we'll examine how the way prompts are crafted can significantly affect the responses generated by these models. Understanding the reasons behind these hallucinations is essential for anyone looking to utilize large language models effectively. Whether you're a developer, researcher, or simply curious about AI, this video will provide you with a clearer picture of how these models operate and the challenges they face.

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