大模型面经 - 快手快 Star

Core Viewpoint - The article discusses the advancements and opportunities in the field of autonomous driving, emphasizing the importance of multi-modal large models and their applications in various aspects of the industry [5][6]. Group 1: Interview Insights - The interview process for positions related to multi-modal large models involves detailed discussions about candidates' research papers, particularly focusing on methodologies and results [4][5]. - Candidates are expected to demonstrate knowledge of current multi-modal large models and their paradigms, including specific models like BLIP-2 and Qwen-VL [5]. - Technical questions cover various topics such as Learnable Query, KV Cache, and the training and fine-tuning processes of large models [5][6]. Group 2: Community and Resources - The article highlights a community with nearly 4,000 members, including over 300 companies and research institutions in the autonomous driving sector, providing a platform for knowledge exchange [7]. - It mentions a comprehensive learning path covering over 30 areas of autonomous driving technology, from perception to planning and control [7]. - The community offers resources on various technical solutions and industry dynamics, aiming to support newcomers in the field of autonomous driving [7].