What is DeepSeek And how does it Work ?
Here's a more detailed explanation
What is Deep Seek ?
- Aims
Deep Seek goal is to develop AI technologies particularly large language models that are comparable to those of established companies like Open AI and Google but with a focus on efficiency and cost-effectiveness.
- Founder
Liang Wen feng also the co-founder of High-Flyer a Chinese stock trading firm.
- Open Source
Deep Seek is an open-source project meaning its technology is available for free which contrasts with the proprietary nature of Open AI models.
- DeepSeek-V3
Deep Seek has released a general-purpose model called DeepSeek-V3 which excels in tasks like natural language understanding coding and problem-solving.
- Deep Seek R1
Deep Seek also developed a model called Deep Seek R1 that demonstrated advanced reasoning capabilities such as the ability to rethink its approach to math problems.
How does Deep Seek work ?
- Mixture-of-Experts (MOE) Architecture
Deep Seek employs MOE where only a subset of the model parameters are active at any given time reducing computational costs while maintaining strong performance.
- Reinforcement Learning
Deep Seek uses reinforcement learning a technique where models learn through trial-and-error feedback to improve their reasoning skills.
- Model Distillation
Deep Seek uses model distillation where a larger more complex model transfers its knowledge to a smaller more efficient model allowing for high performance with fewer resources.
- Chain of Thought Prompting
Deep Seek R1 uses Chain of Thought prompting which encourages the model to think out loud or provide step-by-step reasoning in its responses.
- Cost-Effectiveness
Deep Seek aims to develop AI models that are more cost-effective than those of its competitors using innovative techniques to reduce computational costs.
- Open Source and Free
Deep Seek is an open-source project, meaning its technology is available for free which contrasts with the proprietary nature of Open AI models.