By 27 January,2025 DeepSeek had surpassed ChatGPT as the most-downloaded free app on the iOS App Store in the USA, which caused Nvidia’s share price to drop by 18%.
What’s DeepSeek ?
DeepSeek is a powerful AI model designed for text generation, code understanding and AI-powered reasoning.It is based on transformer architecture, which makes it capable of understanding and generating meaningful responses.
What’s so unique about DeepSeek?
DeepSeek stands out from other LLMs for several reasons. The most notable distinction is that DeepSeek is a Chinese company, whereas most other AI models, such as ChatGPT and LLaMA, are primarily trained on English data. In contrast, DeepSeek is trained on both Chinese and English, making it a truly multilingual model, particularly advantageous for Chinese users. Additionally, DeepSeek offers several other unique advantages:- It is currently free to use.
- Unlike OpenAI and other companies, DeepSeek open-sources its AI algorithms, models, and training details, allowing anyone to access, modify, or build upon its code and design freely.
ChatGPT vs DeepSeek
The key distinction between ChatGPT and DeepSeek lies in their focus.
- ChatGPT is primarily designed for conversational applications, excelling in task-specific intelligence (narrow AI).
- DeepSeek, on the other hand, aims to develop Artificial General Intelligence (AGI), striving for a broader, more human-like understanding.
Another major difference is language support.
- As a Chinese company, DeepSeek emphasizes the Chinese language and culture.
- ChatGPT takes a global approach, supporting multiple languages worldwide
ChatGPT being an existing leader, has some benefits over DeepSeek:
- ChatGPT is widely used across the world and supports multiple languages. Almost every professional in the world currently uses ChatGPT.
- OpenAI has built a robust ecosystem around ChatGPT, including APIs, plugins, and partnerships with major tech companies like Microsoft.
- ChatGPT has a strong brand recognition. It is s a household name in AI world with trust among users.
- ChatGPT has a large and active developer community, contributing to its continuous improvement and innovation.
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DeepSeek-Coder
DeepSeek Coder comprises a series of code language models trained from scratch on both 87% code and 13% natural language in English and Chinese, with each model pre-trained on 2T tokens. We provide various sizes of the code model, ranging from 1B to 33B versions. Each model is pre-trained on repo-level code corpus by employing a window size of 16K and a extra fill-in-the-blank task, resulting in foundational models (DeepSeek-Coder-Base). We further fine-tune the base model with 2B tokens of instruction data to get instruction-tuned models, namedly DeepSeek-Coder-Instruct.
- Pretrained on 2 Trillion tokens over more than 80 programming languages.
- Various model sizes (1.3B, 5.7B, 6.7B and 33B) to support different requirements.
- A window size of 16K window size, supporting project-level code completion and infilling.
- State-of-the-Art performance among open code models.
Performance
We evaluate DeepSeek Coder on various coding-related benchmarks. The result shows that DeepSeek-Coder-Base-33B significantly outperforms existing open-source code LLMs. Compared with CodeLLama-34B, it leads by 7.9%, 9.3%, 10.8% and 5.9% respectively on HumanEval Python, HumanEval Multilingual, MBPP and DS-1000. Surprisingly, our DeepSeek-Coder-Base-7B reaches the performance of CodeLlama-34B. And the DeepSeek-Coder-Instruct-33B model after instruction tuning outperforms GPT-3.5-turbo on HumanEval and achieves comparable result with GPT-3.5-turbo on MBPP.
Performance of different Code LLMs on Multilingual HumanEval Benchmark
Performance of different Code LLMs on MBPP Benchmark
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Performance of different Code LLMs on DS-1000 Benchmark
Performance of different Code Models on Math-Reasoning Tasks.
I asked ChatGPT and DeepSeek the same question — “Will DeepSeek take over ChatGPT?”
Here is the response from ChatGPT.
Here is the response from DeepSeek.
