7 Ways to Train LLMs Without Human Intervention

Training LLM models traditionally require extensive human intervention, which is both time-consuming and costly. The cost of human data labelling, for instance, alone can be substantial.  According to Google Cloud, the price for labelling tasks can range from $0.05 to $0.30 per label, and large-scale projects often require millions of labels, leading to costs that can easily reach hundreds of thousands to millions of dollars.  So, here are methods that can be used to reduce human intervention and the overall cost of training LLMs. Plan like a Graph (PLaG) PLaG involves encoding graph structures into a format that LLMs can process. By representing nodes and edges as tokens, LLMs can learn to understand and manipulate graph-based data, enhancing their reasoning capabili