Apple study shows LLMs also benefit from the oldest productivity trick in the book
In a new study co-authored by Apple researchers, an open-source large language model (LLM) saw big performance improvements after being told to check its own work by using one simple productivity trick. Here are the details. A bit of context After an LLM is trained, its quality is usually refined further through a post-training step known as reinforcement learning from human feedback (RLHF). With RLHF, every time a model gives an answer, human labelers can either give it a thumbs up, which re