Table of Contents
Introduction
Open-source AI models are quickly narrowing the gap with proprietary solutions, and DeepSeek AI is leading this transition. Founded by Liang Wenfeng, DeepSeek is a Chinese AI firm dedicated to developing open-source large language models (LLMs).
With their creations such as DeepSeek V3, Janus for generating images, and DeepSeek R1 for reasoning tasks, DeepSeek has created a range of AI tools that compete with—or even surpass—closed models like OpenAI’s GPT-4 and Google’s Gemini, as well as open-source models like Meta’s Llama or Qwen.
In less than two weeks after launching its first free chatbot application, the mobile app soared to the top of the charts in the app store in the United States. This blog post discusses the main models developed by DeepSeek, their unique features, what differentiates them, and how they stack up against other leading AI systems.
What Is DeepSeek AI?
DeepSeek is a Chinese startup specializing in artificial intelligence. It functions under High-Flyer, a quantitative hedge fund located in Hangzhou.
- Liang Wenfeng is the CEO of DeepSeek. He co-established High-Flyer in 2016, which subsequently became the exclusive investor in DeepSeek.
- The organization has created a collection of open-source models that can compete with some of the most advanced AI systems globally, including OpenAI’s ChatGPT, Anthropic’s Claude, and Google’s Gemini.
- However, in contrast to many of its competitors in the United States, DeepSeek offers an open-source and free-to-use model.
- It has also attracted the attention of prominent media outlets because it asserts that it was developed at a much lower expense of under $6 million, in comparison to the $100 million spent on OpenAI’s GPT-4.
Overview of DeepSeek AI Model
The DeepSeek AI model is a vast generative AI system created to comprehend and generate responses that resemble human text. It relies on deep learning frameworks, akin to models such as GPT (Generative Pre-trained Transformer) and LLaMA (Large Language Model Meta AI).
The model undergoes training on extensive datasets sourced from the internet, enabling it to produce high-quality responses across various industries and fields. Similar to its peers, DeepSeek AI serves numerous purposes, including:
- Content Creation: Crafting blogs, articles, reports, and concise summaries.
- Chatbots & Virtual Assistants: Enhancing automated customer support and interaction.
- Translation & Localization: Providing AI-driven multilingual translation solutions.
- Data Analysis & Insights: Helping businesses in interpreting large datasets for informed decision-making.
DeepSeek AI is anticipated to connect with multiple applications, such as search engines, business automation tools, and cloud services, establishing it as a valuable resource for companies and developers.
Key Features of DeepSeek AI
- Sophisticated Language Processing: DeepSeek AI is designed to comprehend and produce responses that closely resemble human language with great precision.
- Multilingual Support: It accommodates various languages, rendering it a valuable resource for users worldwide.
- Contextual Insight: The model evaluates and generates content based on contextual cues, thereby enhancing user engagement.
- High-Performance Computing: DeepSeek AI utilizes cutting-edge computing capabilities to process inquiries more quickly.
- Focus on the Chinese Market: Although suitable for global use, DeepSeek AI is specifically customized for users and businesses in China.
DeepSeek Models & Release History
Since its inception, the company has developed a series of advanced AI models, with its latest release, DeepSeek-R1, being recognized as the most sophisticated among them and available as open-source.
DeepSeek Coder (November 2023)
DeepSeek Coder marked the company’s first foray into AI-driven coding. The model was trained on 87% code and 13% natural language, providing free and open-source access for both research purposes and commercial applications.
DeepSeek LLM (December 2023)
The company launched DeepSeek LLM as its first general-purpose large language model. Featuring 67 billion parameters, it achieved performance levels comparable to GPT-4, demonstrating DeepSeek’s ability to compete with established leaders in the field of language comprehension.
DeepSeek-V2 (May 2024)
DeepSeek-V2 introduced the innovative Multi-head Latent Attention mechanism and the DeepSeekMoE architecture. This model boasts a total of 236 billion parameters, with 21 billion actively used, significantly improving both inference efficiency and training economics.
DeepSeek-Coder-V2 (July 2024)
The DeepSeek-Coder-V2 expanded upon the original coding model, incorporating 236 billion parameters, a context window of 128,000 tokens, and support for 338 programming languages. This enhancement enables it to tackle more complex coding challenges effectively.
DeepSeek-V3 (December 2024)
DeepSeek-V3 represents a notable advancement in AI development, featuring a staggering total of 671 billion parameters and 37 billion active parameters. Utilizing an advanced mixture-of-experts architecture and FP8 mixed precision training, it sets new benchmarks in language understanding and cost-effectiveness.
DeepSeek-R1 (January 2025)
The latest model, DeepSeek-R1, focuses on advanced reasoning capabilities. Trained exclusively through reinforcement learning, it is designed to rival leading models in solving intricate problems, particularly in the realm of mathematical reasoning.
Getting Started with DeepSeek
Restrictions on signups and rate limits have made it challenging for users to access DeepSeek. Fortunately, there are three main methods to get started:
- DeepSeek’s web interface
- DeepSeek API
- DeepSeek mobile application
DeepSeek Web Access
The easiest way to use DeepSeek chat is through the website. Navigate to their homepage and hit “Start Now” or go directly to the chat section.
In the chat section, you will need to either sign in or create a new account.
Once you’ve signed up, you can utilize the complete chat interface. Users have the option to choose the “DeepThink” feature before submitting a question to receive results utilizing Deepseek-R1’s reasoning abilities.
DeepSeek API
DeepSeek provides programmatic access to its R1 model via an API, enabling developers to incorporate advanced AI functionalities into their applications.
- To get started with the DeepSeek API, you must first register on the DeepSeek Platform and acquire an API key.
- For comprehensive guidance on how to use the API, including authentication, request making, and response handling, please consult DeepSeek’s API documentation.
DeepSeek Mobile App
- DeepSeek is accessible on both iOS and Android devices.
- Simply look for “DeepSeek” in your device’s app store, download the application, and follow the instructions on-screen to either create an account or log in.
Comparison of DeepSeek AI and Other AI Models
DeepSeek AI, a Chinese-developed artificial intelligence model, has garnered significant attention for its innovative approach and performance, positioning it as a formidable competitor to existing AI models. Here’s an analysis of how DeepSeek AI compares to other prominent AI models:
- Cost-Effective Development: One of the standout features of DeepSeek AI is its cost-efficient training process. The training of DeepSeek-V3 required less than $6 million worth of computing power from Nvidia H800 chips, a fraction of the estimated $100 million to $1 billion spent on similar models by U.S. tech companies.
- Open-Source Accessibility: DeepSeek AI has embraced an open-source approach, making its models publicly available. This transparency fosters collaborative development and allows for widespread adoption and adaptation, contrasting with some proprietary models that restrict access.
- Performance and Capabilities: In terms of performance, DeepSeek AI’s models, such as DeepSeek-R1, have been reported to rival leading models like OpenAI’s GPT-3.5. They excel in natural language processing tasks, including text generation, language translation, and conversational abilities. Additionally, DeepSeek-Coder-V2 supports 338 programming languages, enhancing its utility in coding applications.
- Efficiency in Resource Utilization: DeepSeek AI’s models are designed to be resource-efficient, requiring fewer specialized chips for training and operation compared to some Western models. This efficiency not only reduces costs but also makes the technology more accessible to a broader range of users and organizations.
- Market Reception and Impact: Since its release, DeepSeek AI has rapidly gained popularity, surpassing competitors like ChatGPT to become the top-rated free application on Apple’s App Store in the United States. Its emergence has prompted discussions among industry leaders about the future of AI development and the potential for more cost-effective models.
Future of DeepSeek AI
As China advances its AI initiatives, DeepSeek AI is anticipated to emerge as a significant player in the generative AI sector. The Chinese government’s emphasis on AI development, along with the increasing need for AI-driven automation, positions DeepSeek AI as a formidable contender in the market.
Upcoming developments in DeepSeek AI might feature:
- Collaboration with search engines and cloud services to enhance AI-based search outcomes.
- Enhanced natural language comprehension for more sophisticated AI interactions.
- Growth outside of China, providing services to international businesses.
- More robust AI ethics and safety measures to ensure the responsible use of AI technologies.
With AI evolving into an essential technology, DeepSeek AI is poised to influence the future of China’s AI ecosystem while vying on a global level.
Conclusion
DeepSeek AI is emerging as a compelling alternative to established AI models, providing a cost-effective, open-source, and resource-efficient solution. With impressive results in natural language processing and coding tasks, it rivals top models like OpenAI’s GPT series.
Its quick adoption and low cost underscore its potential to transform the AI landscape, making advanced AI technologies more widely available. As AI continues to progress, DeepSeek AI’s innovative strategy positions it as an essential contributor to the future of artificial intelligence.
Deepak Wadhwani has over 20 years experience in software/wireless technologies. He has worked with Fortune 500 companies including Intuit, ESRI, Qualcomm, Sprint, Verizon, Vodafone, Nortel, Microsoft and Oracle in over 60 countries. Deepak has worked on Internet marketing projects in San Diego, Los Angeles, Orange Country, Denver, Nashville, Kansas City, New York, San Francisco and Huntsville. Deepak has been a founder of technology Startups for one of the first Cityguides, yellow pages online and web based enterprise solutions. He is an internet marketing and technology expert & co-founder for a San Diego Internet marketing company.
