就业市场跌爆了。。

Core Viewpoint - The article emphasizes the importance of integrating existing technical skills with large model applications to enhance career prospects in the AI era, rather than abandoning current expertise [2][3]. Summary by Sections Current Industry Trends - Many professionals in programming fields are feeling anxious about the rise of large models like GPT and DeepSeek, prompting a need to adapt and learn new skills [2]. - Despite layoffs and salary reductions, the trend towards AI application implementation is expected to continue, presenting opportunities for career advancement and salary increases [3]. Course Offerings - A course titled "Large Model Application Development Practical Training" is introduced, designed to help developers master the complete AI application development process through practical projects and live instruction [3][4]. - The course covers essential technologies such as RAG, AI Agent, and Transformer architecture, structured in five modules from basic to advanced levels [7]. Learning Outcomes - Participants will learn to fine-tune mainstream large models for specific scenarios, utilize domain data for model customization, and understand RAG technology for efficient knowledge retrieval and generation [9]. - The course aims to build skills for developing AI Agents capable of multi-task collaboration and complex problem-solving in various industry applications [9]. Success Metrics - The course has served over 20,000 students, receiving positive feedback for its learning methods and outcomes, with many participants securing high-paying job offers [11]. - The program offers opportunities for networking with product teams, building technical barriers, and avoiding job insecurity, particularly for those approaching career milestones [13]. Additional Benefits - Participants will receive access to real-world case studies and insights into high-demand AI applications, enhancing their practical experience and employability [14][16]. - The course includes direct referral opportunities to companies, increasing the chances of obtaining high-paying positions in the AI field [18].