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OpenAI has introduced GPT-4.5, claiming it will 'hallucinate less' than previous models. Hallucinations refer to errors where the AI generates incorrect information, which can lead to serious consequences. The company has developed a benchmark called SimpleQA to measure the accuracy of its models.
In testing, GPT-4.5 hallucinated 37% of the time, an improvement over its predecessor, GPT-4o, which had a 62% error rate. However, experts argue that the evaluation method is flawed, as it focuses on short, factual queries rather than the complex responses users typically seek. The ongoing challenge remains whether AI can ever be completely free of hallucinations.
• OpenAI's GPT-4.5 aims to reduce hallucination errors in AI responses.
• Experts question the effectiveness of OpenAI's evaluation methods for AI accuracy.
Hallucinations in AI refer to instances where the model generates incorrect or misleading information.
A benchmark is a standard test used to evaluate the performance and accuracy of AI models.
LLMs are AI models designed to understand and generate human-like text based on vast datasets.
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ABC (Australian Broadcasting Corporation) 7month
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