📄 中文摘要
小型、高速且高效的大型语言模型（LLMs）正在兴起，以Google DeepMind的Gemini 3.1 Flash-Lite和OpenAI的GPT-5.4 mini/nano为代表。这一趋势将使人工智能更加普及，加速其在各种设备和应用中的整合。同时，研究人员正在深入理解模型的基本机制，尤其是大型语言模型中的“时间推理”机制，这为AI研究和实际应用开辟了新的可能性。这些进展将推动AI技术的进一步发展。
下一代大型语言模型：深入探讨紧凑型高速模型与时间推理 – Gemini 3.1 Flash-Lite，GPT-5.4 mini/nano
📄 English Summary
Next-Gen LLMs: Deep Dive into Compact, High-Speed Models and Temporal Reasoning – Gemini 3.1 Flash-Lite, GPT-5.4 mini/nano
The emergence of smaller, faster, and more efficient Large Language Models (LLMs) is exemplified by Google DeepMind's Gemini 3.1 Flash-Lite and OpenAI's GPT-5.4 mini/nano. This trend aims to make AI more accessible and accelerate its integration into various devices and applications. Concurrently, researchers are deepening their understanding of fundamental model mechanisms, particularly the 'temporal reasoning' mechanisms within LLMs. These advancements open new possibilities for AI research and practical applications, paving the way for future developments in AI technology.