AI技术在年复一年的发展中一直是备受关注的焦点。自然语言处理的技术也一直在延续发展，这类技术已愈来愈普及，特别是在语音交互领域中。在AI技术和语音交互领域中，聊天机器人仿佛是所有人都关注的焦点。它们愈来愈流行，也愈来愈先进，目前遭到了广泛的关注。由于对聊天机器人的需求不断上升，愈来愈多的公司加入了这个领域。例如国内的阿里巴巴、百度、腾讯和海外的Google和Amazon等大公司，都在研究相应的技术。

在语音交互领域中，王坚分享了chatgpt技术的一些新进展和发展趋势。王坚是腾讯的一位科学家和研究员，对自然语言处理和机器学习领域有着深入的理解。在他的演讲中，他介绍了chatgpt技术（也称为聊天式生成预训练），它是浏览理解领域中的一项技术，可以在没有任务的情况下进行预训练，从而可以为各种NLU / NLG任务履行良好。

chatgpt自从推出以来，一直遭到广泛关注，得到了愈来愈多的探索和利用。在他的演讲中，王坚强调了chatgpt技术的三个主要发展趋势。

1. 问题抽象的泛化能力

在自然语言处理领域中，聊天机器人的基本任务是聆听大量的对话，并进行输出。chatgpt技术在这个领域的突破之一就是它具有问题抽象的泛化能力。这类泛化能力可使聊天机器人在新领域中快速适应问题并进行任务。

2. 深入的上下文理解能力

在对话中，常常会有后续的对话环节，通过前面的交换对后续对话也会产生影响。选择性地记忆对话历史和上下文，并使用它来决定要生成的信息和回复非常重要。chatgpt技术具有深入的上下文理解能力，这使它可以更好地进行对话理解并生成更准确的对话回复。

3. 全球化的语言支持能力

chatgpt技术的利用不但局限于特定的语言环境中，它还可以支持全球范围内的语言。聊天机器人可以在区别的语言环境中运行，满足区别地区、区别人群的需求，并可以帮助切断区别地区之间的语言障碍。

王坚分享了chatgpt技术在语音交互领域中的一些高端进展和发展趋势。虽然在自然语言处理和AI技术领域还有许多需要研究和解决的问题，但是chatgpt技术依然为聊天机器人的发展提供了新的思路和方向。 With the increasing demand for chatbots, more and more companies are entering this field. Companies such as Alibaba, Baidu, Tencent, Google, and Amazon are researching relevant technologies.

In the field of voice interaction, Wang Jian shared some new developments and trends in chatgpt technology. Wang Jian is a scientist and researcher at Tencent with a deep understanding of natural language processing and machine learning. In his speech, he introduced chatgpt technology (also known as chat-style pre-training), which is a technology in the field of reading comprehension that can be pre-trained without a task and performs well for various NLU / NLG tasks.

Chatgpt has been widely acclaimed since its launch, gaining more and more exploration and applications. In his speech, Wang Jian emphasized three major trends in chatgpt technology.

1. Generalization ability of problem abstraction

In the field of natural language processing, the basic task of chatbots is to listen to a large amount of conversation and output. One of the breakthroughs of chatgpt technology in this field is its ability to generalize problem abstraction. This generalization ability enables chatbots to quickly adapt to problems in new fields and perform tasks.

2. In-depth contextual understanding ability

In the dialogue, there will often be follow-up dialogue, and the previous communication will also affect the subsequent dialogue. Selectively remembering the conversation history and context and using it to determine the information and response to be generated is very important. Chatgpt technology has an in-depth contextual understanding ability, which enables it to better understand the dialogue and generate more accurate dialogue responses.

3. Global language support capability

The application of chatgpt technology is not limited to specific language environments, it can also support languages ​​around the world. Chatbots can run in different language environments, meet the needs of different regions and different populations, and help cut language barriers between different regions.

In summary, Wang Jian shared some high-end advances and trends of chatgpt technology in the field of voice interaction. Although there are still many problems that need to be researched and solved in the field of natural language processing and AI technology, chatgpt technology still provides new ideas and directions for the development of chatbots.