Imagine you could ask any question about data, and your computer would give you an answer as if it were a smart friend. For example, asking, “Why did our sales drop last month?” This might sound simple, but it is quite challenging for computers. Traditional methods can only answer straightforward questions and often struggle with complex queries that involve reasoning and combining different kinds of knowledge. This is where Table-Augmented Generation (TAG) comes in. TAG is like a bridge that helps computers understand and answer more complex questions by uniting the power of Artificial Intelligence (AI) with databases. TAG stands […]
Navigating Through Mirages: Luna’s Quest to Ground AI in Reality
AI hallucination is a phenomenon where language models, tasked with understanding and generating human-like text, produce information that is not just inaccurate, but entirely fabricated. These hallucinations arise from the model’s reliance on patterns found in its training data, leading it to confidently present misinformation as fact. This tendency not only challenges the reliability of AI systems but also poses significant ethical concerns, especially when these systems are deployed in critical decision-making processes. The Impact of Hallucination in a Sensitive Scenario: Healthcare Misinformation The repercussions of AI hallucinations are far-reaching, particularly in sensitive areas such as healthcare. An AI system, […]