Latest Artificial Intelligence (AI) Research Suggests Few-Shot Prompting LLMs May Be More Similar To Fine-Tuning Than Realized - MarkTechPost

Since the release of OpenAI's ChatGPT, large language models (LLM), neural networks trained on enormous text corpora, and other sorts of data have gained much attention in the artificial intelligence industry. On the one hand, huge language models are capable of amazing feats, producing lengthy texts that are mostly coherent and giving the appearance that they have mastered both human language and its fundamental abilities. On the other hand, several experiments demonstrate that LLMs are simply repeating their training data and only displaying impressive results due to their extensive text exposure. They fail as soon as they are given tasks or problems that call for reasoning, common sense, or implicitly learned skills. ChatGPT frequently needs help to figure out straightforward math issues.