A core problem with artificial intelligence is that it’s, well, artificial. Generative AI systems and large language models (LLMs) rely on statistical methods rather than intrinsic knowledge to predict text outcomes. As a result, they sometimes spin up lies, errors and hallucinations. This lack of real-world knowledge has repercussions that extend across domains and industries. The problems can be particularly painful in areas such as finance, healthcare, law, and customer service. Bad results c...
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