{"input_url":"https://www.cio.com/article/4201942/when-it-comes-to-ai-bigger-isnt-always-better-2.html","gnews_decode":"https://www.cio.com/article/4201942/when-it-comes-to-ai-bigger-isnt-always-better-2.html","http_status":200,"final_url":"https://www.cio.com/article/4201942/when-it-comes-to-ai-bigger-isnt-always-better-2.html","html_length":259170,"trafilatura_result":"ok","text_length":7915,"text_preview":"There is growing concern about trust in AI as the technology is adopted by more people. Large language models (LLMs) continue to face persistent challenges with hallucinations and inaccurate outputs.\nLLMs are probabilistic systems trained to give answers, even when the correct answer is unclear or u","verdict":"OK"}