DeepSeek - New Chinese AI

The artificial intelligence (AI) world is evolving rapidly, and one of the newest players is DeepSeek AI from China. DeepSeek promises to be a strong competitor to established AI systems like ChatGPT, Google Gemini, and Microsoft Copilot. But what makes DeepSeek special, and how can you use it?

What is DeepSeek AI?

DeepSeek AI is an advanced language model developed by a Chinese research team. Like ChatGPT and Google Gemini, DeepSeek can generate text, answer questions, assist with marketing, and much more. The AI model is based on deep learning, enabling it to understand and generate natural language at a high level.

DeepSeek is specifically designed to support the Chinese language and culture, but it also has the capacity to work with other languages. This makes it an important player in the global AI market.

The Background of DeepSeek

DeepSeek was developed by a Chinese AI research team with the goal of creating an independent Chinese AI solution that does not rely on Western technologies. In recent years, the Chinese government has intensified its focus on AI and aims to develop its own solutions to reduce dependency on companies like OpenAI (ChatGPT) and Google.

DeepSeek is built on advanced natural language processing (NLP) and is trained on large amounts of data. Like ChatGPT, it is based on a transformer architecture, which allows it to understand context in text and deliver precise responses.

How to Use DeepSeek? Getting Started with DeepSeek

To use DeepSeek, you can:

• Access DeepSeek via the web or download their app from Google Play and the Apple App Store.
• Create an account with DeepSeek.
• Start using the AI.

DeepSeek is now available in most parts of the world.

DeepSeek vs. Other AIs

Below, we will compare DeepSeek with other well-known AI models. Note that this comparison was made on 29-01-2025, and changes may occur over time.

DeepSeek vs. ChatGPT

DeepSeek and ChatGPT are both advanced AI language models, but they differ in several ways:

• Language Support: ChatGPT, developed by OpenAI, supports many languages, whereas DeepSeek was initially optimized for Chinese but has now expanded with stronger multilingual support.
• Training Data: DeepSeek was primarily trained on Chinese datasets, but the latest version now uses a combination of global datasets, improving its performance in English and other languages, although a significant portion is still based on Chinese data.
• Functionality: ChatGPT integrates with tools like DALL·E for image generation and advanced coding assistance, while DeepSeek primarily focuses on text-based interaction. ChatGPT also includes additional tools such as Canvas, GPTs, and more.

ChatGPT has a stronger global presence, but DeepSeek is a serious competitor, especially for users needing precise language understanding in Chinese and related markets.

DeepSeek vs. Google Gemini

Google Gemini (formerly Bard) is Google’s AI model, which takes a broad approach to AI, supporting text, images, video, and audio. Unlike DeepSeek, which is primarily a language model, Gemini can analyze multiple types of input simultaneously.

Key differences between DeepSeek and Google Gemini:

• Multimodality: Gemini can process text, images, and audio, whereas DeepSeek primarily focuses on text.
• Data Access: Google Gemini has access to Google’s extensive datasets and internet search, whereas DeepSeek operates with a more closed approach without direct access to Google's databases.
• Availability: Both models are now globally available, but Gemini is more deeply integrated into Google's ecosystem.

If you need an AI model that combines multiple modalities (text, image, and audio), Google Gemini is a stronger choice, whereas DeepSeek remains a robust language model.

DeepSeek vs. Microsoft Copilot

Microsoft Copilot is an AI assistant deeply integrated into Microsoft products like Word, Excel, and Teams. DeepSeek functions as a general language model and is not integrated into productivity software in the same way.

Main differences:

• Work Environment: Microsoft Copilot is ideal for professionals working with the Office suite, while DeepSeek functions more as an independent chatbot.
• Focus: Copilot helps with specific work tasks such as text editing, presentations, and spreadsheets, while DeepSeek is better suited for general information retrieval and text generation.
• Availability: Copilot typically requires a Microsoft 365 subscription, while DeepSeek can be used for free or with a premium plan.

For businesses and productivity, Copilot is an obvious choice, whereas DeepSeek is a strong general AI model for language understanding.

Security in DeepSeek

As with other AI models, security and data handling are crucial factors. Previously, DeepSeek was primarily available in China, raising concerns about censorship and data security. Now that DeepSeek is globally accessible, it is important to understand how it handles data:

• Data Security: DeepSeek now complies with international data security standards, but it remains unclear whether users' input is stored or used for further training.
• Censorship: DeepSeek still filters certain sensitive topics, especially regarding Chinese politics, but the model is more open than before.
• GDPR Compliance: DeepSeek has updated its privacy policy to align with European GDPR requirements, but users should still be aware of how their data is processed.

Although DeepSeek has become more globally accessible, it is worth noting that Chinese AI models often have different approaches to privacy compared to Western alternatives.

Conclusion

DeepSeek AI has evolved from being a Chinese AI model with limited reach to a globally available language model. It is now trained on a broader range of data and supports multiple languages, making it a strong competitor to ChatGPT and Google Gemini.

Although DeepSeek still has strong ties to the Chinese market, it has become a more versatile solution for users worldwide. It offers a powerful AI experience, but security and censorship considerations should still be taken into account depending on the use case.