Expired90% confidenceFactTime unknown
The 42-episode tutorial divides the core knowledge system of large models into three modules: a foundational section, an advanced section, and a practical section.
1
Sources
90%
Confidence
Medium-term (~90 days)
Relevance
6/1/2026
First Seen
Valid until: 8/30/2026(expired)
Sources
Related Entities
Related Claims
UnverifiedThe article argues that large model development learning is divided into four layers: foundational cognition, API invocation, prompt engineering, and four core paths of RAG/fine-tuning/Agent/multimodal.70% similarUnverified大模型开发学习可拆分为五个递进阶段：大模型基础、RAG知识库开发、Agent智能体开发、模型微调进阶、项目实战69% similarUnverifiedThe prompt system breaks the mathematical modeling process into four stages: in-depth problem analysis, innovative model construction, fully automated data acquisition and preprocessing, and model solving and result analysis.68% similarVerifiedLarge language models are divided into two major types: base models (Base LLM) and instruction-tuned models (Instruction-tuned LLM)66% similar
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