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AI chatbot errors lead to sector revenue decline in 2024
AI services are optimized for plausible answers, which may not always be accurate. Gradually, these errors accumulate, as old models are used to train new chatbots. This leads to a “collapse” and a decline in interest in neural networks.
Chatbot companies are looking for ways to combat these errors. In particular, Nvidia (NASDAQ:NVDA) CEO Jensen Huang has proposed forcing neural networks to conduct more accurate research and provide sources for each response generated. Some models are already using these measures, but the situation with hallucinations has not improved.

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