DeepSeek is a series of transformer models created by High-Flyer, a relatively small company based in China. The most prominent models in this series are DeepSeek V3 and DeepSeek R1. These models share the foundational technology common to other large language models (LLMs) such as OpenAI's GPT and Meta's LLaMA. However, they distinguish themselves through several key innovations.
Fundamentally, DeepSeek models are Transformer-based neural networks. They function by predicting the next word in a sequence using the context provided by preceding words—akin to an advanced version of your cellphone's text predictor. This technology is also utilized by ChatGPT and other widely-used generative language systems. What sets DeepSeek models apart is their enhancement of efficiency, introduction of novel training techniques, and a more open approach to AI development.
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Since its inception, DeepSeek has consistently launched high-performance AI large models. In early 2024, DeepSeek released its first large model, the DeepSeek LLM. This model, utilizing 67 billion parameters and trained on a dataset of 2 trillion tokens, demonstrated superior language understanding and generation capabilities. Following this, the DeepSeek-V2 model also achieved notable success, offering exceptional cost-effectiveness and performance comparable to GPT-4 Turbo, earning it the nickname “the Pinduoduo of the AI world.”
In 2025, DeepSeek emerged as a pioneer of technological innovation, introducing various models equipped with efficient algorithms, such as the DeepSeek-R1. This model, which relies on reinforcement learning, showcased outstanding performance in fields like mathematics and coding, while costing only 3%-5% of its competitors.
These advancements are closely tied to DeepSeek's focus on technical enhancements. DeepSeek emphasizes algorithm upgrades and computational power optimization by adopting a sparse mixture of experts architecture. Additionally, it improves computational efficiency through adaptive dynamic resource allocation, ensuring robust computational capabilities in practical applications
In practical applications, DeepSeek has demonstrated a mature ability to adapt to the market.
In the B2B sector, DeepSeek provides efficient solutions across various industries, including finance, government, and manufacturing.
In the consumer market, DeepSeek quickly gained popularity, becoming an intelligent assistant in daily life. Whether offering learning assistance, emotional support, or sparking creativity, DeepSeek comprehensively meets user needs and has received positive feedback.
DeepSeek's pricing strategy is another significant advantage.
Its API services are very reasonably priced, costing only one-third of what OpenAI charges, making it more accessible for small to medium-sized enterprises and individual developers.
Additionally, DeepSeek adheres to an open-source strategy, which attracts widespread participation and contributions from developers, fostering a robust technology development ecosystem.
A standout feature of DeepSeek is its dedication to openness. In contrast to companies like OpenAI, which often keep their models and training methodologies confidential, DeepSeek has shared its models and code with the public. This transparency offers a refreshing change in an industry typically marked by secrecy.
By making its models accessible, DeepSeek is helping to level the playing field. Smaller organizations and individual researchers now have the opportunity to experiment with and enhance these models without the need for extensive computational resources. This approach is poised to accelerate innovation.
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