Core Insights - The rapid development of large model technology has made top AI talent a key target for tech companies [1] - JD.com has launched the TGT program to recruit top technical talent globally, focusing on various advanced fields [1] - JD.com aims to enhance its AI infrastructure through collaboration with domestic hardware manufacturers and academic institutions [1][2] Group 1: Talent Recruitment and Development - JD.com introduced the TGT program targeting global students and recent graduates in eight technical fields, covering over 80 advanced topics [1] - The talent structure is pyramid-shaped, with top leaders guiding the direction and mid-level technical staff being recruited through the TGT program [1] - JD.com plans to offer 18,000 core positions for the 2025 graduating class [1] Group 2: AI Infrastructure and Optimization - JD.com is addressing hardware efficiency and stability issues through software optimization, achieving a 30%-40% performance improvement with its self-developed xLLM model [2] - The company emphasizes real-world application of algorithms in retail, focusing on solving business problems in high-demand scenarios [2] - JD.com is advancing large model applications through restructuring traditional processes, integrating generative models, and exploring native applications [2] Group 3: AI Application and User Experience - During the 618 shopping festival, the usage of large models increased by 130% compared to last year's Double 11 event, with over 14,000 AI agents operating internally [3] - The transition from keyword matching to semantic understanding and multimodal interaction is being driven by large models [3] - The proportion of new graduates involved in large model application projects is significantly higher than in traditional business areas [3]