在今年的GPU技术大会（GTC）上，英伟达CEO黄仁勋举办了一场特殊的圆桌论坛，邀请了备受瞩目的Transformer模型七大作者共襄盛举。这场对话吸引了全球科技界的关注，因为这是七位作者首次在公共场合集体亮相。
Transformer模型是自然语言处理领域的重要突破，它为大规模语言模型的开发奠定了基础。在圆桌论坛上，作者们分享了对AI技术发展的见解和展望。他们一致认为，尽管Transformer取得了巨大成功，但仍有必要开发出更先进的模型，以推动AI性能达到新的高度。
最初，Transformer的设计目标是模拟Token的演化过程，但实际上它已经超越了这一目标，成为生成文本和代码的强大工具。作者们还讨论了AI模型效率的问题，提出了自适应计算的概念，以期在特定问题上更合理地分配计算资源。
此外，作者们还指出，当前的AI模型价格低廉，规模尚小，未来有潜力进一步发展壮大。他们认为，AI技术的经济性和实用性是推动其广泛应用的关键因素。
黄仁勋与Transformer七大作者的这次对话，无疑为AI领域的未来发展提供了宝贵思路和启示。随着科技的不断进步，我们有理由期待更加智能、高效和经济的AI模型将会出现，为我们的生活带来更多便利和惊喜。
英文翻译内容：
Title: Jensen Huang Hosts Roundtable with Authors of the Transformer Paper
Keywords: AI Models, Transformer, Tech Symposium
News content:
At this year’s GPU Technology Conference (GTC), Jensen Huang, CEO of NVIDIA, hosted a unique roundtable forum that brought together the seven authors of the groundbreaking Transformer model. This conversation drew global attention as it marked the first time all seven authors appeared together in a public setting.
The Transformer model has been a significant breakthrough in the field of natural language processing, laying the foundation for the development of large-scale language models. During the roundtable, the authors shared their insights and perspectives on the future of AI technology. They agreed that despite the success of Transformer, there is a need to develop more advanced models to push AI performance to new heights.
Originally designed to simulate the evolution of tokens, Transformer has evolved beyond its initial goal to become a powerful tool for generating text and code. The authors also discussed the issue of efficiency in AI models, proposing the concept of adaptive computing to more rationally allocate computing resources to specific problems.
Moreover, the authors pointed out that current AI models are affordable and still relatively small in scale, with potential for further growth and development. They believe that the economic and practical aspects of AI technology are key factors in driving its widespread adoption.
Jensen Huang’s dialogue with the authors of the Transformer paper has undoubtedly provided valuable insights and inspiration for the future development of AI. With the continuous advancement of technology, we have every reason to expect the emergence of more intelligent, efficient, and economical AI models that will bring more convenience and surprises to our lives.
【来源】https://new.qq.com/rain/a/20240321A00W5H00
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