
🔥 Foreword: The AI World is Exploding Again! And This Time, It's Different!
Lately, the hottest topic in the AI community is undoubtedly DeepSeek! This newcomer is like a sudden disruptor, emerging with incredible skills, not only attracting the fervent attention of developers but also sparking global discussions!
But! Just knowing it's popular isn't enough. We need to dive deep and understand what makes it so powerful to truly utilize it, right?
Today, I'll take you on a deep dive into DeepSeek's "inner workings," transforming you from a "casual observer" to an "inside expert"! And this time, we're going to talk about something different – we'll delve into the technical details and see how DeepSeek is making waves in the AI world!
🚀 DeepSeek: Who is This Mysterious Entity?
Let's start with a simple introduction:
DeepSeek is a company dedicated to exploring Artificial General Intelligence (AGI). Their goal is to create AI that truly understands and learns. DeepSeek Coder, DeepSeek LLM, and DeepSeek-VL are their flagship products, each possessing unique and powerful capabilities.
💪 DeepSeek's "Unique Skills": Breaking the Mold!
Want to know what makes DeepSeek so powerful? Don't worry, we'll look at them one by one. And this time, we're going deep into the technical details!
- DeepSeek Coder: The "Sweeping Monk" of the Coding World, and a "Self-Taught" Master!
- Code Generation: Fast, Accurate, and Ruthless! This goes without saying, DeepSeek Coder's greatest skill is writing code! Give it a requirement, and it can "whoosh" out a bunch of code – fast, high-quality, a programmer's dream!
- Multilingual Mastery: An All-Around Expert! Python, Java, C++, Go… DeepSeek Coder can easily handle various programming languages.
- Not Just Writing, But Also Fixing! Code has bugs? DeepSeek Coder can also help you debug, find the problem, and suggest modifications.
- Excellent Performance, Surpassing its Predecessors! DeepSeek Coder's performance is quite impressive on multiple code benchmark tests such as HumanEval and MBPP.
- Here's the Key: Reinforcement Learning Without Relying on "Extensive Practice"! The most impressive thing about the DeepSeek-R1 model is that it introduces a reinforcement learning method during the fine-tuning phase that doesn't rely on supervised fine-tuning. What does this mean?
- Traditional Method: Like a teacher teaching students hand-in-hand, students need to memorize standard answers, and they might be confused when encountering new problems.
- DeepSeek-R1: Let the model solve problems on its own. Reward it when it gets it right, and even if it gets it wrong, let the model summarize the lessons learned and gradually "figure out" the solution!
- How Does It Work Specifically?
- Simple Reward Criteria: Is the answer correct (for math and programming problems)? Does the output conform to a specified template (with a chain of thought)?
- Let the Model Generate Multiple Answers: Generate 16 candidate answers each time.
- Survival of the Fittest: Select the good answers, adjust the model parameters, and make the model more likely to generate good answers next time.
- Continuous Cycle: After multiple iterations, the model can "learn on its own," and its reasoning ability will be greatly improved!
- How Amazing is the Effect? In terms of mathematical ability, if the base model scores 100, it can reach 450 after fine-tuning! With previous methods, maintaining the base model's level after fine-tuning was already considered good.
- Remember AlphaGo Zero? The idea behind DeepSeek-R1 is very similar to DeepMind's AlphaGo Zero back then! AlphaGo Zero didn't use human game records, it just played against itself and was able to beat all previous versions! DeepSeek-R1 is the same – it doesn't need a lot of labeled data, and it can let the model "evolve" on its own!
- DeepSeek LLM: The Eloquent "Language Master," and It's "Cost-Effective"!
- Ultra-Large Scale, Knowledgeable! DeepSeek LLM has a huge number of parameters, which means it has "read" a massive amount of books and materials, and its knowledge base is very broad.
- Strong Understanding, Smooth Conversation! Chatting with it is like chatting with a real person – it can understand, respond, and be logical!
- Multi-Tasking, Master of All Trades! Writing articles, translating, writing poems, making up stories… it can do it all!
- Safe and Reliable, a Responsible AI! DeepSeek LLM has made a lot of efforts in terms of security.
- Technical Hightlights, Save Cost is the king!
- Multi-Token Prediction: Traditional models predict 1 token at a time (think of it as part of a word), while DeepSeek predicts 2! The core lies in clever design, not simply increasing the number. Effect: Reduces the computational power required for training and inference!
- FP8 Mixed Precision: The precision of neural network training has gone from FP32 to FP16, BF16, and then to INT8. DeepSeek uses FP8! Effect: Significantly reduces computational costs!
- DualPipe Technology: Optimizes the underlying settings of NVIDIA computing cards! DeepSeek forcibly sets some of the stream processors in computing cards like H800 and H20 to only handle communication! Effect: Solves communication bottlenecks and improves computational efficiency!
- And MoE, Multi-Head Latent Attention, etc. All these technologies are aimed at reducing costs and improving efficiency!
- DeepSeek-VL: The "Image Expert" with Sharp Eyes
- Combining the strengths of LLM and Coder, DeepSeek-VL is able to understand the content of images more deeply.
✨ DeepSeek's "Inner Workings": Cost-Effective, Efficient, and Open Source!
- Self-Developed Architecture, Unique! DeepSeek uses its self-developed MLA architecture, which has advantages in processing long sequences and reducing computational complexity.
- Massive Data, Carefully Trained! High-quality data is the foundation.
- Continuous Optimization, Constant Improvement! The DeepSeek team is always working hard.
- Open Source, Embracing the Community! DeepSeek has open-sourced many of its models – this is a victory for open source!
🔑 How to Make Good Use of DeepSeek?
- Identify the Right Scenario, Apply the Right Solution! DeepSeek's different models are good at different tasks. You need to choose the appropriate model based on your needs. For example, if you need to generate code, use DeepSeek Coder; if you need to process natural language, use DeepSeek LLM.
- Make Good Use of Tools, Achieve Twice the Result with Half the Effort! DeepSeek provides various tools and APIs, and you can use these tools to use DeepSeek more conveniently.
- Participate in the Community, Make Progress Together! DeepSeek has an active developer community where you can exchange experiences, learn skills, and provide feedback.
- Continuous Learning, Stay Up-to-Date! AI technology is developing rapidly, and DeepSeek is also constantly evolving. You need to maintain a passion for learning to keep up with the times.
🔮 Future Outlook: The Infinite Possibilities of DeepSeek
- Smarter Assistants: DeepSeek can become our smarter assistants, helping us handle various complex tasks and improving our work efficiency.
- More Personalized Services: DeepSeek can provide more personalized services based on our needs and preferences, making our lives more convenient and comfortable.
- Wider Application Scenarios: DeepSeek will be widely used in various fields such as healthcare, education, finance, and transportation, promoting social progress.

- Do more with less. This reminds me of the 86 version of "Journey to the West". The funding was limited, but the crew tried their best, using a fish tank to film the Dragon Palace and stockings to create soft light. The final effect was also great! DeepSeek is the same, achieving excellent performance through technological innovation under limited resources!
💬 Conclusion: Explore the Future of AI with DeepSeek!
The emergence of DeepSeek has opened a door to the future world for us. Let's embrace DeepSeek, explore the infinite possibilities of AI, and create a better future!
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