When AI models generate false or nonsensical information that appears plausible.
Hallucinations occur when models confidently produce incorrect facts, often due to gaps in training data or misunderstanding context.
An AI might incorrectly state NetSuite API limits or invent non-existent SuiteScript methods.
Preventing hallucinations is critical for business applications. Strategies include RAG, validation layers, and human oversight.
The field focused on ensuring AI systems behave as intended, don't cause harm, and remain aligned wi...
A neural network component that allows models to focus on the most relevant parts of the input when ...
AI systems that can interpret and understand visual information from images and video.
Numerical representations of text that capture semantic meaning for AI processing.
Teaching AI models new tasks with just a few examples.
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