美国艾伦人工智能研究院创始CEO、现董事会成员兼顾问奥伦·伊奇奥尼博士近日在接受每经网专访时透露，到2024年，人工智能（AI）的发展趋势将是多模态大模型的进一步研发，同时超越单纯的内容生成，向能够完成行动的AI智能体前进。
伊奇奥尼博士指出，芯片时代的摩尔定律在AI时代仍然适用，AI的训练和推理成本可能每18个月就下降一半。这一趋势意味着AI技术的门槛将更低，更多的企业和开发者能够进入这一领域，推动AI技术的普及和发展。
多模态大模型是指能够处理多种类型数据，如文本、图像、音频等，并能够将这些不同类型的数据进行有效结合的AI模型。这种模型的研发将使AI技术在处理复杂任务时更加高效和精准。
AI智能体则是指能够独立完成特定任务的AI系统，它们不仅能够处理和分析数据，还能够进行决策和执行行动。这种AI系统的发展将使AI技术在更多领域得到应用，如自动驾驶、智能家居、医疗健康等。
In an exclusive interview with the Nikkei Business Daily, Dr. Oren Etzioni, CEO and co-founder of the Allen Institute for Artificial Intelligence, board member and advisor, revealed that by 2024, the trend in artificial intelligence (AI) development will be further research and development of multimodal large models, moving beyond pure content generation to AI agents capable of taking action.
Dr. Etzioni pointed out that the Moore’s Law of the chip era still applies to the AI era, and the cost of AI training and inference may halve every 18 months. This trend means that the threshold for AI technology will be lower, allowing more enterprises and developers to enter this field, promoting the popularization and development of AI technology.
Multimodal large models refer to AI models that can handle various types of data, such as text, images, audio, etc., and can effectively combine these different types of data. The research and development of such models will make AI technology more efficient and accurate in handling complex tasks.
AI agents are AI systems that can independently complete specific tasks. They are not only capable of processing and analyzing data, but also making decisions and taking action. The development of such AI systems will enable AI technology to be applied in more fields, such as autonomous driving, smart homes, healthcare, and more.
【来源】https://www.nbd.com.cn/articles/2023-12-26/3181902.html
Views: 1