Update README.md
Browse files
README.md
CHANGED
|
@@ -1,46 +1,15 @@
|
|
| 1 |
-
|
| 2 |
|
| 3 |
-
|
| 4 |
-
|
| 5 |
-
## 👋 About Us
|
| 6 |
-
|
| 7 |
-
**DMind is an open-source research institution dedicated to the convergence of AI and Web3** We believe "AI + blockchain" will reshape the future of the digital economy. Through developing specialized large language models and solutions, we aim to address technical challenges in the Web3 space, enhance user experiences, and foster the healthy development of the industry ecosystem.
|
| 8 |
-
|
| 9 |
-
## 🚀 Our Mission
|
| 10 |
-
|
| 11 |
-
- Enhance large language models' understanding and application in the Web3 domain
|
| 12 |
-
- Drive intelligent upgrades for decentralized applications (DApps)
|
| 13 |
-
- Provide reliable AI tools and services for the blockchain community
|
| 14 |
|
| 15 |
## 💡 Core Focus Areas
|
| 16 |
|
| 17 |
-
|
| 18 |
-
|
| 19 |
-
|
| 20 |
-
|
| 21 |
-
Developing intelligent analysis tools to help users understand on-chain data, predict market trends, identify potential risks, and provide AI-powered support for investment decisions.
|
| 22 |
-
|
| 23 |
-
### 3. Model Evaluation & Benchmarking
|
| 24 |
-
Establishing AI model evaluation standards for the Web3 domain, conducting comprehensive assessments of market-available LLMs, and publishing authoritative reports to guide industry development.
|
| 25 |
-
|
| 26 |
-
### 4. Smart Contract Optimization
|
| 27 |
-
Utilizing AI technology to assist in the design, audit, and optimization of smart contracts, improving their security, efficiency, and usability.
|
| 28 |
|
| 29 |
## 🔍 Latest Research & Projects
|
| 30 |
|
| 31 |
-
- **
|
| 32 |
-
-
|
| 33 |
-
|
| 34 |
-
## 🤝 Partnerships
|
| 35 |
-
We maintain close collaborations with leading blockchain projects, research institutions, and AI companies to jointly promote technological innovation and establish industry standards.
|
| 36 |
-
|
| 37 |
-
## 📬 Contact Us
|
| 38 |
-
|
| 39 |
-
- **Website**: [dmind.ai](https://dmind.ai)
|
| 40 |
-
- **Twitter**: [@DMind_AI](https://twitter.com/DMind_AI)
|
| 41 |
-
- **Discord**: Coming soon.
|
| 42 |
-
- **Email**: [email protected]
|
| 43 |
-
|
| 44 |
-
---
|
| 45 |
-
|
| 46 |
-
*DMind - Building an intelligently-driven decentralized future*
|
|
|
|
| 1 |
+
## 👋 About DMind.AI
|
| 2 |
|
| 3 |
+
**DMind is an open-source research institution dedicated to the convergence of AI and Web3**. We believe "AI + blockchain" will reshape the future of the digital economy. Through developing specialized large language models and solutions, we aim to address technical challenges in the Web3 space, enhance user experiences, and foster the healthy development of the industry ecosystem.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 4 |
|
| 5 |
## 💡 Core Focus Areas
|
| 6 |
|
| 7 |
+
1. **LLM Web3 Capability Enhancement**: We focus on training and fine-tuning large language models to better understand blockchain concepts, smart contracts, and DeFi protocols, delivering more accurate Web3 knowledge services.
|
| 8 |
+
2. **AI-Driven Web3 Analytics**: Developing intelligent analysis tools to help users understand on-chain data, predict market trends, identify potential risks, and provide AI-powered support for investment decisions.
|
| 9 |
+
3. **Model Evaluation & Benchmark**: Establishing AI model evaluation standards for the Web3 domain, conducting comprehensive assessments of market-available LLMs, and publishing authoritative reports to guide industry development.
|
| 10 |
+
4. **Smart Contract Optimization**: Utilizing AI technology to assist in the design, audit, and optimization of smart contracts, improving their security, efficiency, and usability.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 11 |
|
| 12 |
## 🔍 Latest Research & Projects
|
| 13 |
|
| 14 |
+
- [**DMind Benchmark**](https://huggingface.co/datasets/DMindAI/DMind_Benchmark): a domain-specific evaluation suite designed to assess the capabilities of large language models in the Web3 context.
|
| 15 |
+
- **DMind_v1**: the first LLM dedicated to Web3, comes in Pro, Core, and Mini versions. It outperforms general-purpose models of similar size in Web3 tasks significantly.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|