ZJUNICE Tutorial: Evolution and Application of Diffusion Models in RL
ZJUNICE Tutorial: AI Agent and Agentic Workflow based in Large Language Model
ZJUNICE Tutorial: 大模型架构创新与底层细节
ZJUNICE Tutorial: How Can We Use LLMs: A Brief Tutorial
ZJUNICE Tutorial: V2X Collaborative Perception
ZJUNICE Tutorial: Large Models as Compressors for Efficient Communication
ZJUNICE Tutorial: Generative Models (Part B: Diffusion)
ZJUNICE Tutorial: Generative Models (Part C: Flow Matching)
ZJUNICE Tutorial:The Evolution of RL: From Single-Agent to Multi-Agent Paradigms
ZJUNICE Tutorial: A Technical Analysis of Multimodal Large Language Models
ZJUNICE Tutorial: Generative Models (Part A: VAE)
ZJUNICE Tutorial: LLMs for Next-Generation Networks: An AI-Native CP Perspective
ZJUNICE Tutorial: Towards General-Purpose Reinforcement Learning Agents
ZJUNICE Tutorial: Model-based Reinforcement Learning (MBRL)
Qwen真是怪胎，奖励错了，模型反而更强，强化学习得推翻重来？
cohirl
ZJUNICE Life: Memory of 2025
吴恩达 【面向所有人的AI提示工程】（中文语音）
Transformer原作打脸DeepSeek观点？一句Wait就能引发反思，RL都不用
为什么在性能相近的情况下，DeepSeek模型的影响力比Qwen模型更大？
