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...
|LLM|HALLUCINATION| MEMORY|Exploring How Memory Mechanisms Can Mitigate Hallucinations in Large Language ModelsA hallucination is a fact, not an error; what's erroneous is a judgment based upon it. — Bertrand RussellLarge language models (LLMs) have...
Large Language Models (LLMs) trained on vast quantities of information could make security operations teams smarter. LLMs provide in-line suggestions and guidance on response, audits, posture management, and more. Most security teams are experimenting...
Large Language Models (LLMs) are revolutionizing how we process and generate language, but they're imperfect. Similar to humans might see shapes in clouds or faces on the moon, LLMs can even ‘hallucinate,' creating information...