The strong rise of artificial intelligence (AI) is reshaping the future of technology, and in that context, an impressive new name emerges: Deepseek V3. Developed by the DeepSeek lab in China, this AI model is making a big splash in the global technology community thanks to its remarkable superior performance. This article will delve into the key aspects of DeepSeek V3, from its incredible technical power to its wide application potential and interesting questions surrounding it.
| Join the channel Telegram belong to AnonyViet 👉 Link 👈 |
The outstanding power of DeepSeek V3
DeepSeek V3 is more than just an ordinary upgrade; It represents a leap in performance compared to existing AI models.
According to DeepSeek's internal tests, DeepSeek V3 outperforms both downloadable “open” models and “closed” models accessible only via API. This means that DeepSeek V3 not only competes with “big guys” like OpenAI's GPT-4o, but also surpasses “open” competitors like Meta's Llama 3.1 405B in certain aspects.
One of the clearest demonstrations of DeepSeek V3's power is its ability to excel in competitions programming on Codeforces. Here, it defeated a series of other strong models, confirming its ability to handle complex tasks related to encryption. Additionally, on the Aider Polyglot test, designed to evaluate the ability to integrate new code into existing code, DeepSeek V3 also performed surprisingly well.
DeepSeek V3's capabilities are not limited to programming. This model can handle a wide range of related tasks document such as writing essays, composing emails and translating from brief descriptions. This flexibility opens up wide application potential in many different fields, from supporting software development to improving office productivity.
See more: Meta AI: Super simple access and usage instructions
Why is DeepSeek V3 so superior?
1. 14.8 trillion token data set
To achieve this impressive performance, DeepSeek V3 possesses a giant “brain” with incredible statistics. The model is trained on a dataset of up to 14.8 trillion tokens. To put it into perspective, 1 million tokens is equivalent to about 750,000 words. This massive scale of training data allows DeepSeek V3 to learn and capture linguistic nuances deeply.
2. Size 685 billion parameters
Not only about data, the size of DeepSeek V3 is also very respectable. This model comes 671 billion parametersor even 685 billion on the AI Hugging Face development platform. Parameters are internal variables that the model uses to make predictions and decisions. With a number of parameters larger than approx 1.6 times that of Llama 3.1 405B (405 billion parameters), DeepSeek V3 possesses the ability to process information and make more complex decisions.
However, it should be noted that the number of parameters is not the only factor that determines the performance of the model. While larger models tend to perform better, they also require more powerful hardware to run. An unoptimized version of DeepSeek V3 would need a high-end GPU system to answer questions at a reasonable speed.
3. Training costs $5.5 million
DeepSeek claims that it only takes approx 5.5 million dollars To train DeepSeek V3 for about two months, use these Nvidia H800 GPU. This is a figure significantly smaller than the development costs of similar models like OpenAI's GPT-4.
This achievement becomes even more impressive when considering that Chinese companies were recently restricted by the US Department of Commerce from procuring high-end GPUs like the H800. The fact that DeepSeek can train such a powerful model at such a low cost amid technological constraints raises questions about the efficiency and creativity of Chinese AI researchers.
Computer scientist Andrej Karpathy, a founding member of the team at OpenAI, commented on social media that DeepSeek “makes it look easy” with the release of an advanced LLM trained on “a budget.” unimaginable”. This shows the international community's surprise and admiration for DeepSeek's achievements.
4. The “openness” of DeepSeek V3
Another important factor that makes DeepSeek V3 attractive is the “open” license that DeepSeek provides. This license allows developers to download and modify the model for most applications, including commercial applications. This openness encourages collaboration and innovation within the AI community, allowing researchers and businesses to leverage the power of DeepSeek V3 to develop innovative solutions.
The provision of FP8 version and the ability to easily migrate to BF16 is also a big plus, helping to optimize the performance and deployability of DeepSeek V3 on many different hardware platforms. This makes the model more accessible to a wide range of users.
Limitations of DeepSeek V3
However, one sensitive aspect regarding DeepSeek V3 cannot be overlooked: content moderation issues. Like many other AI systems developed in China, DeepSeek V3 seems to avoid or refuse to answer questions related to political topic sensitive. For example, when asked about Tiananmen Square, the model did not provide an answer.
This reflects the fact that DeepSeek, as a Chinese company, must comply with the regulations of the country's internet regulator to ensure that the model's responses “represent the values core of socialism.” Although this is a notable limitation, it does not detract from the technical achievements DeepSeek has achieved.
How to use DeepSeek V3
According to some AI experts, DeepSeek is on par with ChatGTP and Claude. DeepSeek also supports Vietnamese quite well.
To use DeepSeek V3, you have several options:
- Official web interface: Access DeepSeek V3 through the official website to interact directly with the model.
- Hugging Face Platform: Developers can download the template and integrate it into their projects.
- GitHub: For those with more technical knowledge, check out the GitHub repository to access technical files and documentation.
See more: How to use ChatGPT on WhatsApp: Did you know?
Conclusion
The birth of DeepSeek V3 marks an important milestone in the development of AI, especially in the context of increasingly fierce competition between technological powers. With outstanding performance, affordable training costs, and openness, DeepSeek V3 has the potential to become a powerful tool for researchers, developers, and businesses worldwide.
