AI large model application development practical outline

Basics

Large model theoretical basis

• A first look at the big model: origins and development

• Warm-up: Decoding attention mechanism (Attention)

• Milestones of Change: The Rise of the Transformer

• Going Differently: GPT and Bert’s Choice

• GPT Model Family: From Beginning to Present

• GPT Model Family: From Beginning to Present

• From GPT-1 to GPT-3.5: Cloud changes along the way

• ChatGPT: where to win

• GPT-4: A new beginning

• The future of big models: the power of open source and ecological prosperity

• OpenAI’s big picture: endless pursuit

• Open source battlefield: Challengers of OpenAI

• LangChain: a stage for developers

• Prompt Learning

• Chain-of-Thought (CoT): the pioneering work

• Tree-of-Thoughts (ToT): continuing the story 

• Prompt Engineering: A new way of working

Basics of large model development

• Embedding 101

• Embedding origin, development, application and current situation