Kapanlagi.com - DeepSeek AI, a research laboratory in artificial intelligence originating from China, is currently attracting global attention thanks to the launch of its latest open-source model, DeepSeek-R1. This model is claimed to have capabilities on par with technology giants like OpenAI and Google in various crucial aspects, ranging from mathematical reasoning to code efficiency and operational costs. With its innovative approach, DeepSeek presents a new paradigm in AI development that is not only efficient but also open to everyone.
Founded by Liang Wenfeng, who has a background in quantitative finance, DeepSeek was born out of an ambition to pursue higher scientific innovation. Unlike many other technology companies in China, DeepSeek operates independently, without interference from giants like Baidu or Alibaba. This philosophy reflects Liang's commitment to prioritize scientific innovation over mere short-term financial gains.
With the arrival of DeepSeek-R1, this laboratory has taken a significant step by releasing its models openly, providing opportunities for developers worldwide to leverage this advanced technology. However, how can DeepSeek compete with established industry giants? Let's take a closer look at the discussion.
DeepSeek, an innovative creation from the deep learning division of Fire-Flyer, which is part of the quantitative hedge fund High-Flyer in China, was born in 2015 thanks to the vision of Liang Wenfeng. Known for its computational sophistication in analyzing financial data, High-Flyer is now transforming under Liang's leadership, who in 2023 decided to focus on artificial intelligence by establishing DeepSeek.
With a spirit to explore the potential of AI without the financial pressures that often hinder in-depth research, DeepSeek stands out as a distinct entity from other more commercial AI companies.
Interestingly, instead of relying on technology giants like Baidu or Alibaba, DeepSeek chose an independent path, prioritizing academic collaboration and self-innovation as the foundation for developing their advanced models.
DeepSeek-R1 is the latest breakthrough in the modeling world that is set to change the way we program and analyze data. By leveraging advanced reinforcement learning (RL) techniques and staged training, this model not only enhances its capabilities but also offers extraordinary efficiency.
One of the most exciting innovations of DeepSeek is the multi-head latent attention (MLA) architecture and the mixture of experts (MoE) approach, which allows this model to activate only the relevant parameter portions, thus reducing the computational power requirement by up to ten times compared to other models from Meta.
Available in various variants with parameters ranging from 1.5 billion to 70 billion, DeepSeek-R1 is released under the MIT license, giving developers the freedom to adapt and commercialize this model according to their needs.
OpenAI and DeepSeek present an intriguing approach to artificial intelligence development, each with its own characteristics. DeepSeek-R1-Zero, for instance, embodies a pure spirit in reinforcement learning without relying on supervised training as OpenAI does.
Meanwhile, Google Gemini stands out with its remarkable ability to process text, images, and video simultaneously. However, the high costs and lack of flexibility make Gemini less appealing to independent developers compared to open-source models like DeepSeek.
In performance tests, DeepSeek achieved a score of 92% in logical reasoning, surpassing ChatGPT, which only scored 89%. Nevertheless, Gemini remains the king in multimodal data processing with a score of 94%, demonstrating its prowess in applications that integrate various types of data.
DeepSeek, amidst the heavy challenges due to chip export restrictions from the US that hinder their access to advanced hardware like the Nvidia H100, has shown remarkable resilience by producing a variety of brilliant technical innovations.
The company has successfully created a specialized communication scheme that enhances the efficiency of data exchange between chips, as well as implementing memory optimization to reduce the size of processed data without compromising performance.
With a mix-of-models strategy, DeepSeek is able to combine small models into results equivalent to large models, making it a pioneer that prioritizes long-term innovation over short-term gains. DeepSeek's courage and creativity inspire many AI developers around the world to continue innovating and adapting.
Create a New Account: Open DeepSeek at https://www.deepseek.com/. Sign up through the official website or app by filling in your email and password.
Login to Your Account: Log in using the credentials you created to access the platform's features.
Utilize Key Features: After successfully logging in, click 'Start Now'. You can ask questions or give instructions, and DeepSeek will respond based on the data it has.
Use Advanced Features: Use additional tools for data analysis, code processing, or other tasks.
Note: Stay vigilant about data privacy and the potential misuse of information
DeepSeek is a Chinese AI research laboratory focused on developing efficient and open-source artificial intelligence models, such as DeepSeek-R1.
DeepSeek is more efficient in terms of computational resource usage and operational costs, and offers an open-source model that can be adapted by developers.
Yes, DeepSeek models can be used for various applications, ranging from data analysis to the development of advanced algorithms.
You can access DeepSeek through its official platform, by creating an account and starting to interact through the available interface.
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