Large Language Models (LLM) are large-scale neural network models trained based on deep learning techniques, especially the Transformer architecture. They learn the structure and regularity of language by processing and analyzing large amounts of text data, thereby generating, understanding, and translating human language. These models typically have hundreds of millions to hundreds of billions of parameters, enabling them to perform well in a wide range of natural language processing (NLP) tasks, such as language generation, dialogue understanding, text summarization, translation, etc.
This is a companion discussion topic for the original entry at https://community.robotshop.com/index.php/blog/show/run-large-language-model-on-raspberry-pi-jetson-how-effective-is-it