With the rapid development in artificial intelligence in recent years, there has been a dramatic increase in the capabilities of language models. There are now advanced models that can produce human-quality texts, write complex codes, and even contribute to scientific research. While companies like OpenAI play a pioneering role in this field, new players like China-based DeepSeek are also entering the sector with bold claims. So what is DeepSeek and how do you use DeepSeek-R1?
How to use DeepSeek-R1?
DeepSeek is actually a China-based artificial intelligence research center backed by High-Flyer Capital Management. Recently, it has managed to make big waves in the technology world with its developed AI models.
The company, particularly known for models like DeepSeek-R1 and DeepSeek-V3, embraces open-source software philosophy, allowing developers to use and commercially benefit from these models. So how do you use DeepSeek-R1?
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DeepSeek-R1 and its API can be accessed at chat.deepseek.com. The API provides functions like fine-tuning and distillation, giving developers flexibility and control over the model. DeepSeek has also released six distilled models ranging from 1.5 billion to 70 billion parameters.
These models are optimized for efficiency and are claimed to offer performance levels similar to OpenAI-o1-mini. In fact, it surpassed OpenAI-o1-1217 by achieving a 79.8% success rate in the AIME 2024 benchmark test. Indeed, our detailed tests support these results. It shows quite successful results in tasks such as mathematics, code generation, and reasoning.
DeepSeek-R1-Zero is built entirely on a reinforcement learning (RL) framework. This allows it to develop reasoning abilities autonomously. In initial evaluations, it achieved a 71% success rate in the AIME 2024 benchmark test. However, because this model faced challenges like readability and language mixing, DeepSeek-R1 was developed.
In comprehensive comparison tests, DeepSeek showed head-to-head results with other leading AI models including ChatGPT, Gemini, Grok, and Claude. As mentioned, it even managed to surpass them in many benchmark tests.