Cold thinking under the hot ChatGPT

As an artificial intelligence-based natural language processing (NLP) chatbot program, ChatGPT is trained through a large amount of text from the Internet, and uses deep learning and machine learning algorithms to understand users' questions and provide accurate answers. And, ChatGPT also has built-in functions such as sentiment analysis, keyword extraction and entity recognition, which can detect the mood of the conversation, which helps it to respond appropriately to customer inquiries. Specifically:

First, mimic human conversation. The core functionality of ChatGPT focuses on providing human-like conversations based on user-input queries or commands. It is often similar to virtual assistant technology and software applications such as Apple's Siri and Amazon's Alexa.

Second, based on the GPT-3 model construction. GPT-3 is an autoregressive language and language prediction model developed by OpenAI and is considered one of the most important artificial intelligence systems of all time. The quality of the text generated by GPT-3 makes it difficult to determine whether it was written by a human.

Third, it is widely used. ChatGPT can write output similar to commercial artificial intelligence copywriting. Experiments have shown that ChatGPT can even compose music and create novels, helping content creators or technical writers generate outlines. Moreover, ChatGPT can also summarize, digest and interpret large amounts of text. Another interesting application of ChatGPT is that it can also write and debug computer programs.

Fourth, support fine-tuning. Another great thing about ChatGPT is that its responsiveness and overall performance can be fine-tuned. It relies on existing large language models, while there is room for further improvement through active training using supervised learning and reinforcement learning. Users can upvote or downvote a particular answer, as well as provide additional feedback.

 

Technology giants have entered the game

Of course, ChatGPT has not only won the favor of users, but also won the unprecedented attention of technology giants.

Microsoft announced on January 23 local time that it will invest billions of dollars in OpenAl, the developer of ChatGPT, to accelerate technological breakthroughs and transformation in the field of artificial intelligence, and plans to integrate artificial intelligence tools such as ChatGPT and DALL-E into Microsoft's Among all products; Amazon has adopted ChatGPT in a variety of job functions, including answering interview questions, writing software code, and creating training documents; digital media company Buzzfeed announced a partnership with OpenAI, and will use ChatGPT to help create personalized content in the future.

According to a report released by market data analysis agency CB Insights, there will be 110 venture capital transactions related to the ChatGPT concept in 2022, with investment funds exceeding US$2.6 billion. In the ChatGPT concept area confirmed by the team, there are currently about 250 start-up companies, and 51% of the financing progress is in the A round of fundraising or before the A round.

Not only that, in the face of the continued hot ChatGPT, some technology giants have begun to launch their own competing products, such as Google is developing an artificial intelligence chat robot "Bard", launching chat robot services for its search engines and developers and more AI project; Baidu plans to launch an AI chatbot service similar to ChatGPT in March 2023, the initial version will be embedded in its search service…

 

What are the limitations of ChatGPT?

However, while ChatGPT is in full swing, the industry is concerned about its limitations and possible flaws.

The first is the accuracy of the content generated by ChatGPT. ChatGPT sometimes writes plausible but incorrect or nonsensical answers. Also, ChatGPT isn’t very good at providing factual and factual information when it comes to getting information.

The second is limited knowledge of recent events. The November 2022 release will only provide information on events that occurred in and before 2021. ChatGPT will soon provide more recent events as it continues to be based on human-generated text-based data. However, considering this shortcoming, users should keep in mind that ChatGPT has limited knowledge of the facts because the dataset it uses is not updated.

The third is a moral issue. Another downside of ChatGPT is that it is heavily censored. Some educational institutions have banned its use. Researchers and creatives worry about copyright infringement because ChatGPT's output is based on human-generated text. It also raises the question of whether it is ethical to use ChatGPT as a substitute for services that require human interaction, such as customer service representatives or even therapy consultations.

Finally, there are possible legal issues involved. GPT was built with data from the Common Crawl dataset, which contains copyrighted material from publishing companies, individual authors, and researchers. Experts also warn that AI-based applications could be used in cybercriminal activities. ChatGPT and other derivatives face legal uncertainty and possible compliance costs.

 

Related Content Expansion: (Technical Frontier)

As the bottom layer of software construction, the development language has been using English programming for a long time. Languages ​​such as Java and C are not difficult for professional programmers. However, many non-IT professionals want to build software suitable for their own use, but are obscured Difficult English programming is blocked.

Fortunately, since 2000, although the low-code field has struggled to survive in the cracks, after 20 years of ups and downs, it is now full of willow trees. There are more than 100 companies in related fields. The "JNPF platform" that has been in full swing in recent years is even more low-code. A dark horse in the world.

The JNPF platform is an enterprise-level low-code platform built by a technical team with more than 10 years of experience in system development and enterprise project delivery. Support multi-language switching to build the interface, the business process only needs to be "drag and drop" and can be built without writing a little or no code. The operation is as simple as building blocks, and software can be developed by playing with a computer.

Core functions: form engine, visualization engine, BI engine, process engine, authority engine, portal engine, large screen engine, interface center, IoT platform

If you haven't tried this field, you might give it a try! Official website: https://www.jnpfsoft.com/?csdn

Write at the end:

There is no doubt that ChatGPT has attracted the attention of many people. But the reality is that, like all new technologies, the problems and impact of ChatGPT have yet to be seen, so we need to take a calm look.

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Origin blog.csdn.net/pantouyuchiyu/article/details/131782624