[AI Big Model] ChatGPT-4 vs. ChatGPT-3.5: What are the advantages?

2024-07-12

introduction

Compared with ChatGPT3.5, ChatGPT4 has many incomparable advantages, such as image generation, image content analysis, GPTS development, and more intelligent language understanding capabilities. However, there are problems such as network and recharge barriers when using GPT4 in China.If you are interested in ChatGPT4.0, you can send a private message to the blogger to help you solve account and environment problems. At the same time, if you have some needs for AI technology applications, you are also welcome to send a private message to the blogger, and we can talk about ideas and solutions. It is my honor to solve your problems! !

With the continuous advancement of artificial intelligence, OpenAI has made remarkable achievements in the field of natural language processing. With the release of ChatGPT-4, users have paid attention to the difference between this latest version and its predecessor ChatGPT-3.5. This article will explore the key advantages of ChatGPT-4 compared to ChatGPT-3.5, focusing on its improvements in understanding complex queries, handling false information, and enhancing user experience.

1. Better ability to understand complex queries

ChatGPT-4 can better understand complex problems

ChatGPT-4 excels at handling complex and nuanced problems, making it more reliable for multi-layered conversations and complex tasks. Compared to ChatGPT-3.5, ChatGPT-4 has significantly improved language understanding, parsing user input more accurately and providing more relevant responses.Coursera) (Manifest AI Blog)。

Sample Code


import openai
 
# 使用 ChatGPT-4 的 API
response = openai.Completion.create(
    engine="gpt-4",
    prompt="解释量子纠缠的原理。",
    max_tokens=150
)
 
print(response.choices[0].text.strip())

2. More reliable ability to handle false information

ChatGPT-4 handles false information more effectively

ChatGPT-4 outperforms its predecessor in terms of information accuracy. ChatGPT-4 is not only better at avoiding generating misleading information, but also maintains higher credibility in conversations (kommunicate) (Manifest AI Blog)。

3. Improved context awareness

Maintaining context in long conversations

ChatGPT-4 is better at maintaining context in long conversations, which allows it to provide more consistent and coherent responses in continuous conversations. It is better able to remember and understand the previous content of the conversation, thereby providing more relevant answers.Coursera) (Manifest AI Blog)。

Sample Code


conversation_history = [
    {"role": "user", "content": "告诉我关于艾尔伯特·爱因斯坦的一些信息。"},
    {"role": "assistant", "content": "爱因斯坦是一个著名的物理学家，以相对论著称。"}
]
 
response = openai.ChatCompletion.create(
    model="gpt-4",
    messages=conversation_history
)
 
print(response.choices[0].message['content'].strip())

4. Multimodal Capabilities

Processing textual and visual input

ChatGPT-4 introduces multimodal capabilities, which can process not only text input but also visual input. This feature expands its application scenarios and makes it perform well in image analysis, visual question answering, etc. (Coursera) (litslink)。


import openai
 
# 假设我们有一个图像处理的 API
response = openai.ImageCompletion.create(
    engine="dalle-2",
    prompt="生成一张描述爱因斯坦的图像。",
    max_tokens=50
)
 
print(response.choices[0].text.strip())

5. Enhanced plugin support

Plugins that provide more functionality

ChatGPT-4 supports various plug-ins, such as those from Expedia, Kayak, and OpenTable, allowing users to perform tasks such as travel arrangements directly through ChatGPT. The introduction of plug-ins has greatly enhanced the functionality and application scope of ChatGPT.

6. Performance and cost-effectiveness

High performance and cost-effectiveness

ChatGPT-4 also has significant improvements in performance and cost-effectiveness. Compared to GPT-3.5, the Turbo version of GPT-4 excels in high-demand applications and optimizes performance on specific tasks, providing a more cost-effective solution (AI Service Platform) (Litslink)。


response = openai.Completion.create(
    engine="gpt-4-turbo",
    prompt="分析大数据集。",
    max_tokens=100
)
 
print(response.choices[0].text.strip())

in conclusion

In summary, ChatGPT-4 is superior to ChatGPT-3.5 in many aspects, including understanding complex queries, handling false information, context awareness, multimodal capabilities, plug-in support, and performance and cost-effectiveness. These improvements make ChatGPT-4 show great potential in both enterprise applications and individual users. If you are looking for a smarter and more reliable dialogue generation model, ChatGPT-4 is undoubtedly a choice worth considering.

With these significant improvements, ChatGPT-4 is redefining the standard for natural language processing and driving AI applications forward. If you have any questions or need further technical support, please feel free to contact me.

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