确认裁员了，很严重，大家做好准备吧！

Core Viewpoint - The article emphasizes the urgency for technology professionals to adapt to the rapid growth of AI applications, highlighting the need for skills in AI model development and application to avoid job displacement and to seize high-paying opportunities in the industry [1][2]. Group 1: Industry Trends - The demand for AI talent is surging, with major companies like Alibaba and ByteDance actively hiring AI model developers while simultaneously laying off traditional tech roles [1]. - There is a significant shift in hiring criteria, where companies are prioritizing candidates with AI application experience over traditional coding skills [1][2]. - The article notes that 80% of companies now require proficiency in AI tools to enhance work efficiency, indicating a fundamental change in job requirements across the industry [1]. Group 2: Training and Development Opportunities - A training program is being offered to help individuals gain skills in AI model application development, covering essential topics such as business scenarios, technical architecture, and core principles of AI technologies like RAG and Transformer [2][4]. - The program includes live sessions with industry experts, providing insights into job market trends, salary expectations, and career development paths from the perspective of hiring managers [6][8]. - Participants will receive practical experience through case studies and project simulations, which can be directly added to their resumes to enhance employability [8][13]. Group 3: Technical Insights - The article discusses specific AI technologies such as RAG, which is used for improving question-answer accuracy, and the importance of understanding these technologies for successful application in various business contexts [4][15]. - It highlights the role of Agents in transforming AI models for specific scenarios, particularly in enterprise applications like intelligent customer service [15]. - The training will also cover the integration of external tools and resources to enhance the capabilities of AI models, thereby improving their functionality and interactivity [15].