Prompt engineering is a relatively new field of research that refers to the practice of designing, refining, and implementing prompts or instructions that guide the output of large language models ...

The Multi-Feature Tagger of English (MFTE) was originally based on the MFTE Perl (Le Foll 2021). The present, substantially improved Python version considerably expands the number of tagged features.

So far, running LLMs has required a large amount of computing resources, mainly GPUs. Running locally, a simple prompt with a typical LLM takes on an average Mac ...