It's Difficult To Compete With ChatGPT, These Are The Two Largest Shortages Of DeepSek

Two shortcomings DeepSee (photo: Doc. unsplash)

JAKARTA DeepSee is one of the most popular Artificial Intelligence (AI) platforms in recent months. This chatbot is indeed popular because of its ability, but its performance is still lacking.

DeepSek's ability is indeed very promising so that this AI platform is called a strong competitor to ChatGPT. However, the reliability of chatbots is not only about its capabilities, but also about its performance and how fast its AI model can work.

If you want to switch from ChatGPT to DeepSek, there are some changes you will feel. Unfortunately, this is not a good change, but a slightly detrimental change. Here are two big shortcomings that you can find in DeepSek.

Longer Response Time

The biggest problem found in DeepSee is time. Usually, people use chatbots to speed up their work so that the old AI response will make it difficult for them.

Unfortunately, this happened in DeepSee. ChatGPT can give a response very quickly, even less than five seconds for a complex question. However, DeepSek takes longer to think.

In comparison, VOI asked questions about the adverse effects of menstruation which are often late and what actions should be taken if this happens within a year.

ChatGPT takes less than 2 seconds to respond, while DeepSek takes up to 8 seconds. This comparison is felt if you intend to use a chatbot to speed up work.

Limited Types Of Upload Files

The next obstacle that can hinder DeepSek's Use is the problem of upload format. DeepSek does not support all types of files. For now, the platform can only process file-shaped files.

DeepSek has not supported uploading files such as images, audio, and others. In fact, this support should be owned by all chatbot models. Fortunately, ChatGPT can process non-textual files even though their functions are slightly different.

The chatbot cannot process audio files, including creating transcripts. However, ChatGPT can help users change the desired audio format, for example from m4a to Mp3.