[KongchangAI]
Person

Boge

A Bilibili content creator who offers a series of courses on AI large-model application development for Java programmers. The course content covers Retrieval-Augmented Generation (RAG), LangChain, Spring AI, and agent development.

Timeline (last 90 days)

Oct 17

Bilibili creator Boge released a series of AI large-model application development courses for Java programmers, focused on zero-foundation entry, covering large-model fundamentals, RAG, LangChain, Spring AI, Agent development, and more, and including vibecoding project practice.

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Oct 17

Boge believes that "using prompts well can significantly improve the application effect of large models," and prompts are the key variable determining application effectiveness.

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Oct 17

Boge calls RAG "a relatively common and low-cost solution in enterprises," and the course will lead learners through a complete implementation of the RAG workflow in Java code, involving vector databases such as ChromaDB and Milvus.

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Oct 17

Boge's course is positioned as zero-foundation entry, aimed at programmers who have a Java foundation but lack experience in AI large-model development; learners need basic Java programming ability, and understanding the Spring ecosystem will help, but they do not need to have prior mastery of Python or machine-learning theory.

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