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扎心真相!20万vs50万vs100万大模型算法工程师,差的不只是薪资…大厂6年面试官实锤
Sou Hu Cai Jing· 2026-02-02 15:48
谁懂啊家人们!现在的人工智能算法圈,早就不是"会跑BERT、写Transformer就能拿高薪"的时代了 三四年前,随便在简历上写个"熟悉Transformer""参与过NLP项目",就能骗个大包;可到了2025、2026年,大模型把行业门槛踩得稀碎,却把天花板顶到了 平流层——同样是人工智能算法工程师,有人年薪20万只能写胶水代码,有人年薪50万成为团队中流砥柱,还有人年薪100万+成为行业大佬,差距到底在 哪? 今天不绕弯、不广告,纯个人干货分享!我在大厂做了6年算法工程师,2022年前搞CV、NLP,2023年全面转向大模型,年均负责3个大模型项目,既当过 面试官,也当过候选人,见多了20万、50万、100万工程师的差距,今天一次性说透! 不管你是刚入门的新手、想转行的小白,还是卡在20万薪资想冲50万的从业者,看完这篇,你就知道劲该往哪里使,再也不用盲目焦虑、白费力气! 现在网上的大模型课程、文章多到泛滥,动辄列一个几十条的知识清单,把新手吓得无从下手。其实学大模型,最核心的不是"学得多全",而是"学得多 准"——掌握那些绕不开、面试必问、实际干活必需的最少必要知识,比盲目啃论文、背公式有用10倍! ...
以普惠包容的人工智能发展和治理弥合数字鸿沟
Ren Min Ri Bao· 2025-08-05 22:21
Core Viewpoint - The article emphasizes the urgent need to bridge the digital divide exacerbated by the rapid development of artificial intelligence and digital technologies, which significantly impacts global economic growth and social equity [1][2][9]. Group 1: Digital Divide - The digital divide manifests in three dimensions: access, usage, and capability, leading to a more pronounced "intelligent divide" as AI technology evolves [1][2]. - By the end of 2024, nearly 2.6 billion people globally will still lack internet access, representing one-third of the world's population, with only 35% of the least developed countries having internet users [2]. - The disparity in digital technology usage is evident, with high-income countries having 93% internet usage compared to only 39% in landlocked developing countries [2]. Group 2: International Cooperation - International organizations are enhancing collaborative mechanisms to address the challenges posed by the digital divide, with major countries implementing digital strategies to improve infrastructure and digital literacy in underserved areas [3]. - China is actively participating in global digital governance, promoting infrastructure development in partner countries through initiatives like the Belt and Road Initiative, significantly improving network coverage and digital capabilities in Africa [3]. Group 3: AI Challenges and Opportunities - The development of AI presents both challenges and opportunities in bridging the digital and intelligent divides, with issues such as data concentration and regulatory discrepancies hindering progress [5][6]. - AI technology can enhance resource sharing and digital literacy, with innovations like lightweight models enabling effective applications in resource-limited areas [6]. Group 4: Collaborative Efforts - Bridging the digital and intelligent divides requires a concerted effort from governments, businesses, and international organizations to create an inclusive AI ecosystem and enhance digital literacy [7][8]. - There is a call for open resource sharing and collaboration to develop adaptable AI technologies that cater to the needs of developing regions [7][8].