While artificial intelligence (AI) continues to grow by leaps and bounds, scientists are scrambling to fix the problem of hallucinations plaguing leading large language models (LLMs) but the task remains an uphill climb.
However, there appears to be light at the end of the tunnel for AI developers in solving the challenge of hallucination with researchers from Oxford University leading the charge. According to a new research paper, computer scientists have recorded early successes in a tool designed to spot hallucinations in AI models with impressive accuracy levels.
While not a silver bullet for solving the challenge, lead researcher Sebastian Farquhar disclosed that the tool could be the foundation for building AI systems impervious to hallucinations.
Rather than focus on hallucinations in a broad sense, the research focuses on one prism of the problem—confabulations. According …