Deep Seek is an artificial intelligence (AI) that has evolved quickly across the globe, with entities such as OpenAI, Google DeepMind, and Meta being at the forefront. A Chinese player, however, is disrupting the market with its new and exciting AI models, cost-effective training, and game-changing technologies in the form of DeepSeek.
DeepSeek, headquartered in Hangzhou, Zhejiang, was established in July 2023 by Liang Wenfeng, a prominent player in China’s AI sector. The firm has attracted much attention for its cost-effective AI training processes, which have significantly cut costs compared to top Western AI companies.
It delves into DeepSeek’s background, AI models, novel strategies, and the general effect it is making globally in the world of AI.
Origin of Deep Seek.
DeepSeek was established mid-2023 with strong support from High-Flyer, a Chinese quantitative finance hedge fund. The firm is controlled by Liang Wenfeng, who controls 84% of DeepSeek via a web of shell companies. This ownership setup enables the firm to have operational flexibility while accessing external capital.
DeepSeek originated from the experience of High Flyer with AI-based stock trading. Prior to creating DeepSeek, High Flyer created financial analysis and trading AI models that perfected machine learning methods, which eventually helped make DeepSeek a success with its LLM breakthroughs.
DeepSeek’s AI Models
DeepSeek has introduced several AI models that compete with leading Western AI systems like OpenAI’s ChatGPT, Google’s Gemini, and Meta’s Llama. The company’s AI research has focused on developing models with lower computational costs while maintaining high efficiency.
DeepSeek-LLM
DeepSeek’s first major language model, DeepSeek-LLM, was released in late 2023. It utilized a Transformer-based architecture similar to OpenAI’s GPT-4 but introduced optimizations that significantly reduced the cost of training and inference.
DeepSeek-MoE (Mixture of Experts)
Early 2024, DeepSeek brought forth a novel model based on the Mixture of Experts (MoE) technique. Compared to conventional AI models that compute with all the parameters at inference time, MoE only turns on a proportion of expert layers, significantly saving computations. DeepSeek was thus able to optimize energy usage and hardware needs as opposed to their competitors.
DeepSeek-Coder
Recognizing the growing demand for AI-assisted programming, DeepSeek launched DeepSeek-Coder, a model specialized in software development, debugging, and code generation. It was trained on an extensive dataset of programming languages and outperformed OpenAI’s Codex and Meta’s Code Llama in efficiency.
DeepSeek-R1 (Revolutionary Model):
DeepSeek’s greatest achievement was in January 2025 when it launched DeepSeek-R1. DeepSeek-R1 was the fastest downloaded AI app in the U.S. Apple App Store, outpacing ChatGPT. DeepSeek-R1 came with a new architecture known as Multi-Head Latent Attention (MLA), which maximized information retrieval and response generation, making it quicker and more context-sensitive.