LLMs mimic human output due to internet training data

Large language models may appear to hallucinate or provide incorrect answers because they are trained on vast amounts of internet data. This training process, which involves 'skimming' human-generated content, means the models are essentially imitating their training set rather than exhibiting true intelligence. The output is a reflection of the data they've processed, not genuine understanding. AI

IMPACT Suggests LLM outputs are imitations of training data, not true intelligence, impacting user trust and expectations.

RANK_REASON The item is an opinion piece discussing the nature of LLM training and output.

Read on Mastodon — mastodon.social →

• internet
• LLM

• opinion
• other

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →