Introduction
Artificial Intelligence is evolving at breakneck speed, and OpenAI’s ChatGPT-4 has been leading the pack. But a new contender has emerged—DeepSeek AI, an open-source large language model (LLM) developed in China. With its DeepSeek 67B model and AI-powered DeepSeek Search, it’s being positioned as a ChatGPT-4 alternative, especially where OpenAI’s models are restricted.
But how does DeepSeek LLM compare to GPT-4? And more importantly, could it be influenced by China’s government regulations? In this deep dive, we’ll explore:
✅ DeepSeek’s architecture and training
✅ Head-to-head comparison with ChatGPT-4
✅ Potential government influence
✅ How you can run DeepSeek on your own computer
Let’s get started!
Background: What Is DeepSeek AI?
DeepSeek AI is a research team focused on AI-driven search engines and large language models. It has two main projects:
- DeepSeek LLM (like DeepSeek 67B) – An open-source AI model similar to GPT-4.
- DeepSeek Search – An AI-powered search engine that competes with Google AI search and Perplexity AI.
The DeepSeek 67B model, released in December 2023, is one of the most powerful open-source LLMs available. Unlike OpenAI’s models, which are closed-source, DeepSeek provides full access to its architecture and training methods—a move that has excited AI researchers worldwide.
DeepSeek LLM vs. GPT-4: Head-to-Head Comparison
Let’s break it down technically.
Model Architecture & Training Data
Feature |
DeepSeek 67B |
GPT-4 (est.) |
LLaMA 2-65B |
Gemini 1.0 |
Claude 2 |
| Parameters | 67B | ~1T (estimate) | 65B | Unknown (>500B) | 137B |
| Training Tokens | 2T | ~13T+ | 2T | Unknown | Unknown |
| Architecture | Decoder-only Transformer | Decoder-only Transformer | Decoder-only Transformer | Multimodal Transformer |
Hybrid Transformer
|
| Open-Source? | ✅ Yes | ❌ No | ✅ Yes | ❌ No | ❌ No |
| Multimodal? | ❌ No | ✅ Yes | ❌ No | ✅ Yes | ❌ No |
| Math & Coding | ✅ High (DeepSeek Math & Coder) | ✅ Strong | ✅ Strong | ✅ Advanced | ✅ Good |
| Real-Time Web Access? | ✅ (DeepSeek Search) | ❌ No (GPT-4 is static) | ❌ No | ✅ Yes | ✅ Yes |
Key Takeaways
✔ DeepSeek is open-source, unlike GPT-4 and Gemini.
✔ DeepSeek 67B is smaller than GPT-4 (~1T parameters), meaning it may struggle with deep reasoning.
✔ No multimodal support yet, unlike GPT-4 and Gemini, which process images and videos.
✔ Excels in math and coding, thanks to DeepSeek Math & DeepSeek Coder.
✔ Has real-time web access via DeepSeek Search, while ChatGPT-4 (free version) is based on static data.
Is DeepSeek AI Influenced by the Chinese Government?
Since DeepSeek AI is developed in China, many wonder whether it is subject to government oversight or censorship. Let’s explore the evidence.
🇨🇳 The Role of Chinese AI Regulations
- China has strict AI regulations, requiring LLMs to align with “socialist values” and avoid politically sensitive topics.
- AI companies must submit models for government approval before deployment.
- Foreign AI models (like ChatGPT) are restricted in China, creating a market for domestic alternatives like DeepSeek.
🔍 Evidence of Government Influence in DeepSeek
✅ China’s strict AI laws apply to all domestic models, including DeepSeek.
✅ Chinese LLMs (e.g., Baidu’s Ernie Bot) have censorship filters, and DeepSeek likely follows similar rules.
✅ DeepSeek Search may limit politically sensitive results (e.g., discussions on democracy, protests).
🚨 Potential Risks
- If DeepSeek expands globally, will it allow uncensored discussions?
- Can DeepSeek remain truly open-source, or will future versions be restricted?
While DeepSeek doesn’t seem overtly controlled by the Chinese government, it still operates under Chinese AI laws. This could influence how freely it processes controversial topics.
How to Run DeepSeek AI on Your Computer
Want to try DeepSeek LLM yourself? You can run DeepSeek 67B on your machine! Here’s how.
🛠️ System Requirements
DeepSeek 67B is a large model, so you’ll need:
✅ A GPU with at least 48GB VRAM (e.g., NVIDIA A100, H100)
✅ High RAM (128GB+ recommended)
✅ A Linux or Windows machine with WSL
📌 Step-by-Step Installation
1️⃣ Install Dependencies
You’ll need Python, CUDA (for GPU acceleration), and Hugging Face Transformers.
2️⃣ Download DeepSeek LLM
You can get DeepSeek from Hugging Face:
3️⃣ Run Inference
✔ You now have DeepSeek running locally! 🎉
Final Verdict: Can DeepSeek Compete with GPT-4?
✔ For open-source AI users – DeepSeek is a great alternative to LLaMA 2 and GPT-3.5.
✔ For math and coding – It’s better optimized than generic LLMs.
❌ For deep reasoning and general knowledge – GPT-4 is still superior.
❌ For global access – Potential censorship issues could limit its reach.
🏆
Final Score: DeepSeek = Strong Open-Source GPT-3.5 Competitor, But Not Yet GPT-4 Level
