Introduction
The rise of DeepSeek, the Chinese artificial intelligence (AI) company, has deep implications on the global BigTech (Big Technologies) market. It has also deep geopolitical implications on the global markets.
This article overviews the main uses and features of DeepSeek and compares it to ChatGPT. The article analyses the penetration of DeepSeek to the AI global market, its market growth, its importance and uses in banking and finance, and its impact on the global market. The article concludes with lessons to learn from the rise of DeepSeek and its future.
About DeepSeek
DeepSeek is a Chinese artificial intelligence company that develops open-source large language models (LLMs). Founded in 2023 by Liang Wenfeng and based in Hangzhou, Zhejiang, it is owned and funded by the Chinese hedge fund High-Flyer. DeepSeek’s Artificial Intelligence (AI) models, including DeepSeek-R1, are designed to provide responses comparable to other contemporary large language models like OpenAI’s GPT-4.
DeepSeek has gained significant attention for its cost-effective AI development, claiming to have trained its models at a fraction of the cost compared to other major AI companies. The company has also made its generative AI algorithms, models, and training details open-source, allowing for free use, modification, and viewing.
However, DeepSeek’s compliance with Chinese government censorship policies and its data collection practices have raised concerns over privacy and information control. Despite these concerns, DeepSeek has quickly become a major player in the AI industry, surpassing ChatGPT as the most-downloaded free app on the iOS App Store in the United States.
DeepSeek Main Features
DeepSeek offers a range of impressive features that make it a standout AI tool. The Mixture-of-Experts (MoE) Architecture innovative design activates only a small portion of the model’s parameters at any given time, reducing the computing power required and enhancing task-specific precision.
DeepSeek’s models, such as DeepSeek-V3 and DeepSeek-R1, are open-source, allowing for free use, modification, and viewing. This transparency encourages personalization and wider adoption.
The DeepSeek-R1 model excels in handling complex questions, particularly those requiring careful thought or mathematical reasoning.
DeepSeek’s models have been benchmarked to perform on par with or better than leading AI models like GPT-4o and Claude 3.5 Sonnet.
DeepSeek can be used for a wide range of applications, including content creation, data analysis, coding, and more.
These features make DeepSeek a powerful and versatile AI tool, capable of rivalling some of the biggest names in the industry.
How to Use DeepSeek
Using DeepSeek can be quite straightforward for beginner and advanced users. You can use DeepSeek through its web interface or by downloading the software to your device. For web access, simply visit the DeepSeek website and create an account if you don’t already have one. To run DeepSeek locally on your computer for better data privacy and security, you can download and install LM Studio or Ollama, open the installed application and search for “DeepSeek R1 Distill (Qwen 7B)”, and download the model and load it to start using DeepSeek locally.
DeepSeek offers various features such as AI-generated content, data analysis, and automation tools. You can use it for tasks like writing essays, debugging code, analyzing data, and brainstorming creative ideas.
There are several tutorials available online that can guide you through using DeepSeek effectively. DeepSeek can also be used to build a profitable online business. You can create AI-generated videos, optimize content for Search Engine Optimization SEO, and automate workflows to earn passive income.
DeepSeek Versus Chatgpt
DeepSeek and ChatGPT are two prominent AI models, each with its own strengths and weaknesses:
Performance and Capabilities
– DeepSeek: Known for its cost efficiency and innovative “mix-of-experts” architecture, DeepSeek excels in providing high-definition results with reduced latency and inferencing costs. It is particularly strong in handling complex questions and advanced reasoning tasks.
– ChatGPT: Developed by OpenAI, ChatGPT offers a wide range of features, including the ability to generate AI images, interact with various tools, and provide multimodal interfaces for tasks like image analysis. It is known for its rapid responses and polished creative outputs.
Cost Efficiency
– DeepSeek: DeepSeek’s models are developed at a fraction of the cost compared to competitors. For example, the DeepSeek-R1 model was developed with an investment of approximately $6 million, significantly lower than competitors.
– ChatGPT: While ChatGPT offers a free version, access to its more advanced features requires a subscription. Its API pricing is also higher compared to DeepSeek.
Security and Privacy
– DeepSeek: DeepSeek supports local hosting and free API access, making it appealing to developers and privacy-conscious users. However, it has been found to be more susceptible to jailbreaks and security vulnerabilities.
– ChatGPT: ChatGPT has more robust security measures in place, with a lower success rate for jailbreak attempts compared to DeepSeek.
Use Cases
– DeepSeek: Ideal for developers and privacy-focused users who need cost-effective AI solutions. It is also suitable for tasks that require advanced reasoning and deeper thinking.
– ChatGPT: Best suited for professionals seeking advanced premium features, such as polished video generation and enhanced web search. It is also a good choice for quick prototyping and creative tasks.
Both DeepSeek and ChatGPT have their unique advantages. DeepSeek stands out for its cost efficiency and privacy features, while ChatGPT excels in creative outputs and security. The choice between the two depends on your specific needs and priorities.
DeepSeek In Banking And Finance Sectors
DeepSeek has the potential to revolutionize the banking and finance sectors with its advanced AI capabilities in various ways:
· Data Analysis and Insights: DeepSeek’s AI models can analyze large and complex datasets in real-time, providing valuable insights for financial institutions. This helps in identifying trends, making predictions, and optimizing decision-making processes.
· Risk Management: DeepSeek’s AI can enhance risk management by detecting anomalies and potential fraud. Its advanced reasoning capabilities allow for more accurate risk assessments and proactive measures to mitigate risks.
· Customer Service: DeepSeek’s AI-powered chatbots and virtual assistants can improve customer service by providing quick and accurate responses to customer inquiries. This enhances customer satisfaction and reduces the workload on human agents.
· Investment Strategies: DeepSeek’s AI can assist in developing and optimizing investment strategies by analyzing market data, predicting market movements, and identifying profitable opportunities. This can lead to better investment decisions and higher returns.
· Personalized Financial Services: DeepSeek’s AI can offer personalized financial services by analyzing individual customer data and providing tailored recommendations. This includes personalized investment advice, loan offers, and financial planning.
· Operational Efficiency: DeepSeek’s AI can automate various back-office processes, reducing operational costs and improving efficiency. This includes tasks such as data entry, compliance checks, and transaction processing.
DeepSeek’s innovative approach and advanced AI capabilities are poised to transform the banking and finance sectors, making them more efficient, secure, and customer-centric.
DeepSeek Penetration To The Ai Global Market
DeepSeek has made significant waves in the global AI market with its innovative approaches and cost-effective solutions. DeepSeek’s AI models, such as the DeepSeek-R1, have been developed at a fraction of the cost compared to other major AI companies. This cost efficiency has allowed them to offer competitive solutions and challenge established players in the market. DeepSeek’s “mix-of-experts” approach has provided users with high-definition results while reducing latency and inferencing costs. This innovative method has set them apart from conventional large language models.
The launch of DeepSeek-R1 in January 2025 caused a significant decline in market valuations across the AI value chain, including model developers and infrastructure providers. This disruption highlights the competitive threat posed by DeepSeek to established AI companies. DeepSeek’s emergence has challenged assumptions about US dominance in AI and raised concerns about the market valuations of companies like Nvidia and Meta. The company’s success has prompted a re-evaluation of the global AI landscape. DeepSeek’s ability to rival top players in the AI industry with fewer resources has positioned them as a formidable competitor. Their approach has garnered attention and respect from industry experts and investors alike. DeepSeek’s rapid rise and innovative strategies have undoubtedly made a significant impact on the global AI market.
DeepSeek Market Growth
DeepSeek has experienced remarkable growth in the AI market, rapidly establishing itself as a significant player. The main drivers of DeepSeek market growth are:
· User Adoption: DeepSeek has seen explosive user growth, with over 10 million downloads recorded by early January 2025. The app has become the top-rated application on both the App Store and Play Store.
· Global Reach: DeepSeek has achieved impressive rankings in multiple countries, securing the top position in 57 countries, including major markets like the United States, United Kingdom, and Australia. It has also gained a strong foothold in emerging markets such as India, Brazil, and Nigeria.
· Cost Efficiency: DeepSeek’s development cost for its third iteration (DeepSeek-V3) was around $5.5 million, significantly lower than competitors like OpenAI’s GPT-4, which reportedly cost nearly $100 million to develop. This cost efficiency has contributed to its rapid adoption and market penetration.
· Technological Innovation: DeepSeek’s innovative approach, including its “mix-of-experts” architecture, has allowed it to deliver high-performance AI models at a lower cost .
· Market Impact: The launch of DeepSeek’s AI models has caused significant market disruptions, leading to declines in market valuations of established AI companies. Despite this, DeepSeek’s success has prompted a reevaluation of the global AI landscape.
DeepSeek’s rapid rise and innovative strategies have positioned it as a major competitor in the AI market.
DeepSeek Global Impact
DeepSeek has had a profound impact on the global AI landscape, shaking up markets and challenging established norms.
DeepSeek’s innovative AI models have caused significant disruptions in global markets. The company’s cost-efficient development approach has challenged the assumption that state-of-the-art AI requires massive budgets and top-tier hardware. The rise of DeepSeek has led to substantial financial losses for some established companies. For example, Nvidia experienced a $600 billion reduction in its market value due to decreased demand for high-performance AI chips. DeepSeek’s AI models have gained widespread adoption, with the company’s app becoming the top-rated free application on Apple’s App Store in multiple countries. This global reach has positioned DeepSeek as a major player in the AI industry. DeepSeek’s AI models, such as the DeepSeek-R1, were developed at a fraction of the cost compared to competitors like OpenAI. This cost efficiency has made AI technology more accessible to businesses of all sizes. DeepSeek’s success has raised concerns about the geopolitical balance of power in AI development. The company’s ties to China have led to scrutiny and potential regulatory challenges, particularly in the United States. DeepSeek’s open-source approach encourages collaboration and innovation within the AI community. This openness has accelerated advancements in AI technology and provided opportunities for researchers and developers to build upon and enhance the model.
DeepSeek’s rise marks a major shift in the AI industry, proving that innovation can come from unexpected places. Its impact on AI development, market competition, and the global economy is undeniable.
Learning from DeepSeek Best Practice
DeepSeek has implemented several best practices that have contributed to its success in the AI industry. Key strategies that can be learned from DeepSeek include:
Iterative Dataset Refinement: DeepSeek follows an iterative refinement strategy for data curation, which includes deduplication, filtering, and remixing. This process ensures high-quality training data by removing repeated or low-quality content and balancing the dataset with diverse and inclusive content.
Debiasing Techniques: DeepSeek places a strong emphasis on identifying and removing biases from its training data. This involves detailed manual assessments and adjustments to ensure that the model performs well across different cultural and regional contexts.
Open Source Approach: DeepSeek’s commitment to open-source models allows for transparency, collaboration, and wider adoption. This approach encourages developers to freely access, modify, and contribute to the model’s codebase.
Efficient Fine-Tuning: DeepSeek utilizes techniques like Low-Rank Adaptation (LoRA) to fine-tune its models efficiently with minimal resources. This method allows for faster training and reduced memory usage, making it accessible even on slower GPUs.
Technological Innovation: DeepSeek’s “mix-of-experts” architecture and reinforcement learning approach have set new standards for AI performance. These innovations enable the model to deliver high-definition results while reducing latency and inferencing costs.
By adopting these best practices, other AI developers and researchers can enhance the quality, efficiency, and inclusivity of their models.
Future of DeepSeek
The future of DeepSeek looks promising, but it also faces several challenges and uncertainties. DeepSeek’s innovative approach, including its “mix-of-experts” architecture and cost-efficient model development, positions it well for continued technological advancements. The company is likely to keep pushing the boundaries of AI capabilities. DeepSeek’s disruptive entry into the AI market has already caused significant shifts in market valuations and competitive dynamics. Its ability to deliver high-performance AI models at a lower cost will continue to challenge established players and drive further innovation. DeepSeek’s success has raised concerns about the geopolitical balance of power in AI development. The company’s ties to China have led to scrutiny and potential regulatory challenges, particularly in the United States.
The future of DeepSeek may be influenced by regulatory actions, such as potential bans or restrictions on its use in certain countries. For example, there are discussions in the US Congress about banning DeepSeek due to national security concerns.
DeepSeek’s open-source nature encourages collaboration and wider adoption. This approach could lead to more rapid advancements in AI technology and greater accessibility for developers and researchers.
As with any AI technology, DeepSeek will need to address ethical and security concerns, including data privacy, potential misuse, and compliance with international regulations.
DeepSeek’s future will likely be shaped by its ability to navigate these challenges while continuing to innovate and deliver value to users.