In recent years, the development of artificial intelligence technology has made intelligent applications more and more popular, among which the application of natural language processing technology is particularly extensive. Recently, Microsoft Office software announced that it will join GPT-4 artificial intelligence applications, which is a major advance in the field of natural language processing.
According to TechCrunch, OpenAI president Greg Brockman said the company is testing an advanced version of GPT-4 that can store content 5 times more than regular GPT-4. This means that future natural language processing technologies will be more accurate and efficient.
In addition, Baidu also announced the official launch of "Wen Xin Yiyan", which has been well received for its performance in five use cases, including Chinese understanding and multimodal generation. Baidu CEO Robin Li said that although the "Wen Xin Word" in the internal test is not perfect, there is demand in the market and must be launched. He also said that the Chinese language ability of "Wen Xin Yiyan" is better than any large chatbot, which means that the application of natural language processing technology in the field of Chinese has made important breakthroughs.
The effect was not good, causing the intraday stock price to fall sharply!!!
Natural language processing technology is becoming more and more widely used in all walks of life, from voice assistants to online customer service, to the application of natural language generation technology in news media, all of which have fully demonstrated its potential and value. With the launch and continuous optimization of GPT-4, the application prospects of natural language processing technology will be broader in the future.
Same problem, effect comparison:
However, with the development of artificial intelligence technology, it is also accompanied by the emergence of some social problems. For example, the increase in automation jobs and the decline in traditional ones, as well as data privacy and security issues. Therefore, in the process of promoting and applying natural language processing technology, these issues must be fully considered to ensure its legal, fair, transparent and reliable application.