Recent research from Russia proposes an unconventional method to detect unrealistic AI-generated images – not by improving the accuracy of enormous vision-language models (LVLMs), but by intentionally leveraging their tendency to hallucinate.The novel approach...
Introduction
In a YouTube video titled , former Senior Director of AI at Tesla, Andrej Karpathy discusses the psychology of Large Language Models (LLMs) as emergent cognitive effects of the training pipeline. This text is inspired by his...
Although synthetic data is a strong tool, it may well only reduce artificial intelligence hallucinations under specific circumstances. In almost every other case, it's going to amplify them. Why is that this? What does...
The content of 'Zeta', which sublimates the hallucinations of artificial intelligence (AI) into funny memes, is a hot topic on social media.
Scatter Lab (CEO Kim Jong-yoon) reported that the variety of teenage users...
Artificial Intelligence (AI) is transforming industries and reshaping our every day lives. But even essentially the most intelligent AI systems could make mistakes. One big problem is AI hallucinations, where the system produces false...
Tip 2: Use structured outputsUsing structured outputs means forcing the LLM to output valid JSON or YAML text. It will will let you reduce the useless ramblings and get “straight-to-the-point” answers about what you...
Artificial intelligence (AI) hallucinations have resulted in normal people turning into criminals.
Australian media ABC News reported on the 4th that Microsoft's 'CoPilot' and OpenAI's 'ChatGPT' caused problems by outputting misinformation.
In keeping with this, German...
I work as an AI Engineer in a selected area of interest: document automation and data extraction. In my industry using Large Language Models has presented numerous challenges in terms of hallucinations. Imagine an...