团队准备解散了。。

Core Insights - The future of programming in the next five years is heavily focused on AI large models, which are reshaping traditional CRUD development models [1] - Over 60% of companies are investing in AI products, making "large model application development engineers" highly sought after and extremely scarce [1] - Understanding AI technologies such as Fine-tuning, Agent, and RAG is essential for developers to successfully implement AI applications in various business scenarios [1] Salary and Job Market - Currently, 78% of large model application development positions offer annual salaries between 600,000 to 1,000,000 yuan, with interns earning up to 4,000 yuan per day, significantly above the market average [2] - Major companies like Huawei, Meituan, Alibaba, ByteDance, and Baidu are rapidly increasing their large model job openings, with a reported 69% rise in such positions and salaries exceeding 1,000,000 yuan [3] Training and Skill Development - The "Large Model Application Development Practical Camp" course is designed to help developers build a complete application development path from scratch, focusing on AI application development logic, technical systems, and real-world project experience [6][12] - The course includes practical case studies across various business scenarios, enabling participants to master the underlying logic of AI application development [6] - Participants will gain insights into the latest trends in large model recruitment, including job market conditions, salary expectations, and necessary skills [14] Career Advancement Opportunities - The course offers direct recruitment opportunities and internal referrals, allowing participants to connect with major companies and secure high-paying job offers [15] - Many students have successfully transitioned to higher-paying positions after completing the course, highlighting its effectiveness in career advancement [15] - The training emphasizes the importance of building a technical barrier to stand out in a competitive job market and avoid potential job loss risks associated with age [9]