Why Lightweight Encoders Outperform Giant Decoders in AI Groundedness Detection

How Lightweight Encoders Are Competing with Large Decoders in Groundedness Detection Visual representation of encoder vs decoder architectures (Image: Pexels) The Hallucination Problem in AI Large language models (LLMs) like GPT-4 and Llama3 have revolutionized text generation, but they face a critical challenge: hallucinations. When context lacks sufficient information, these models often generate plausible-sounding but factually unsupported answers. This issue undermines trust in AI systems, especially in high-stakes domains like healthcare, legal services, and technical support. Why Groundedness Matters For AI to be truly reliable, responses must be grounded in provided context. This means: Strictly using information from the given …