AFL：2024年面向AI&ML计算的高阶网络：扩展光纤网络以满足未来数据中心需求白皮书（英文版）

Large Language Models (LLMs) are systems trained on data to recognize patterns, discern sentiment, and generate human-like language in response to prompts. LLM creation follows a two-step process. First, the training phase involves AI models learning from datasets by adjusting parameters to improve accuracy. Next, during the inference phase, trained models apply the knowledge learned from training to make predictions - or decisions – in response to new data. LLMs provide the natural language