Hallucinations

One of the greatest challenges of working with GenAI, and perhaps the most well-known, is hallucination. Hallucination in GenAI refers to the phenomenon where the AI model generates content that sounds plausible but is factually incorrect, nonsensical, or not grounded in the provided input data. This issue is particularly prevalent in natural language processing (NLP) models, such as those used for text generation, but can also occur in other generative models such as image generation and LLMs such as GPT-4.

In the worst case, both the developers and their users do not know whether the answer given by GenAI is correct, partially correct, mostly incorrect, or a complete fabrication.

Causes of hallucinations

Much of the data that organizations capture is either redundant, obsolete, trivial (ROT), or altogether unclassified. As a portion, good data forms a small fraction of the data lakes, warehouses, and databases that most companies have. Whenever beginning your...