The core of an LLM’s functionality lies in transformer architecture, which uses attention mechanisms to weigh the importance of different words in a sequence. This attention mechanism allows the ...

transformer architecture with Llama 2, both performed similarly, though the GPT architecture showed an edge on TriviaQA, leading to its selection for the Pharia-1-LLM-7B models. Group-query ...