随着人工智能技术的飞速发展，大语言模型（LLM）正在多个领域展现出其独特的价值，特别是在搜索、推荐和广告等传统领域引发了革命性的变化。凭借其卓越的文本理解与生成能力，大语言模型能够精准捕捉用户的兴趣和偏好，结合传统技术，利用海量历史数据，显著提高搜索、推荐和广告的转化效率。
在AICon 2024年8月2日举行的专题论坛上，来自华为、京东、中科大、小红书等顶尖企业和学术机构的专家分享了他们在大模型应用方面的一线实践经验和洞见。华为诺亚方舟实验室的陈渤介绍了大模型在华为推荐场景中的探索和应用，展示了大模型如何为推荐系统带来新的机遇，并详细介绍了基于大模型的推荐算法。京东AIGC技术总监翟周伟则分享了京东在电商大模型的技术探索和实践，覆盖电商大模型的知识增强预训练、指令对齐、安全性等方向。中国科学技术大学特任副研究员王皓分享了中科大在推荐系统中的最新研究成果，展示了基于大模型的推荐系统在性能上实现了质的飞跃。小红书生成式搜索负责人高龑（yǎn）则探讨了大模型如何革新搜索引擎，克服传统搜索的局限，并分析了用户搜索行为。
AICon 2024全球人工智能开发与应用大会将于8月18-19日在上海举办，届时将有60多位资深专家带来AI和大数据模型的落地场景与最佳实践分享，帮助与会者提升技术视野、获得有价值的实践指导。大会火热报名中，详情可联系票务经理13269078023咨询。
英语如下：
News Title: “AICon Conference: Large Models Lead the Way in Search and Recommendation Transformations, with Enterprises Like Huawei and JD.com Exploring New Opportunities”
Keywords: Large Models, AICon, Transformation
News Content:
As artificial intelligence technology advances at a rapid pace, large language models (LLMs) are demonstrating their unique value across various fields, particularly sparking revolutionary changes in traditional sectors such as search, recommendation, and advertising. Thanks to their superior abilities in text understanding and generation, large language models are capable of precisely capturing user interests and preferences, combining traditional techniques and leveraging vast amounts of historical data to significantly enhance the conversion efficiency of search, recommendation, and advertising.
At the AICon, a specialized forum held on August 2, 2024, experts from top enterprises and academic institutions such as Huawei, JD.com, University of Science and Technology of China (USTC), and Xiaohongshu (Little Red Book) shared their first-hand experiences and insights into the application of large models. Chen Bo from Huawei’s Noah’s Ark Lab introduced the exploration and application of large models in Huawei’s recommendation scenarios, demonstrating how large models are bringing new opportunities to recommendation systems and providing a detailed introduction to recommendation algorithms based on large models. Zhai Zhouwei, the AIGC Technology Director of JD.com, shared JD.com’s technical exploration and practices in e-commerce large models, covering areas such as knowledge-enhanced pre-training, instruction alignment, and security. Wang Hao, a Special Research Associate at USTC, shared the latest research achievements of USTC in recommendation systems, showing how large model-based recommendation systems have achieved a qualitative leap in performance. Gao Yan (yǎn), the Generative Search Leader at Xiaohongshu, discussed how large models are revolutionizing search engines, overcoming the limitations of traditional search, and analyzing user search behavior.
The AICon 2024 Global Artificial Intelligence Development and Application Conference will be held in Shanghai from August 18-19, 2024. The event will feature presentations by over 60 senior experts on AI and big data model implementations and best practices, helping attendees expand their technical horizons and gain valuable practical guidance. Registration is now open; for more details, please contact the ticketing manager at 13269078023.
【来源】https://mp.weixin.qq.com/s/bDlLSyvGrzkm4XhtYrfKOA
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