Training Contents:
• Overview of Generative Artificial Intelligence and Building Transformer, Practice Environment
• Deep Learning Model Basics (Forward/Backward, LeNet, Autograd)
• First Step to Computer in Understanding Natural Language. All About Tokenization and Attention
• Structure and Application of Generative Language Model Centered on GPT
• Make large-scale language model faster and lighter
• Learning GPT
• Understanding RAG _251202
• LLM, MCP Agent as Active Agent
• Understanding Multimodal LLM
• Principle and Practice of Diffusion
• Understanding Stable Diffusion

 View Datasheet