盘古
华为云盘古大模型是华为自主研发的超大规模预训练模型，聚焦于行业智能化升级。盘古大模型涵盖NLP、CV、科学计算等多个子领域，其中盘古NLP大模型在中文理解、文本生成和知识服务方面表现突出。盘古主要通过华为云API对外服务，适合企业用户在云端集成AI能力。个人用户可通过华为云体验中心免费试用部分功能。对于需要结合华为云生态进行AI开发或研究的用户，盘古是不可替代的选择。
Key Features
Rating Details
2800 reviews
Alternative Tools
Capability Expansion
中文理解
Click to learn detailed application scenarios for this capability
文本生成
See how this capability performs in real usage
知识服务
Explore how this capability improves work efficiency
行业应用
Learn about the latest updates and optimizations for this capability
Tip: Most AI tools support API access, allowing you to integrate them into third-party applications or automated workflows. This tool offers a free version, try it out before deciding whether to upgrade.
Update Notes
Latest Update
Last updated: February 1, 2025
Tool ratings and review data are regularly updated based on user feedback
Feature lists and pricing information may change due to official updates; refer to the official website for accuracy
If you find any inaccurate information, feel free to provide feedback through the comment section
How to Get Started with 盘古
Create an Account
Visit the 盘古 official website and click the register button to create an account. Use email or Google/Apple account for quick registration.
Choose a Suitable Plan
Based on your usage needs, choose the free or paid version. The free version already has basic features; paid versions unlock more advanced features.
Start Using
Log in to start using 盘古. Recommended to start with the 中文理解 feature.
Use Cases
中文理解
Suitable for daily tasks and beginner usage scenarios
文本生成
Supports professional-level applications and complex tasks
知识服务
A powerful tool to improve work and study efficiency
行业应用
Explore more possibilities with AI
Tips & Best Practices
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Using specific and clear prompts可以获得更准确的回答
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Make full use of context dialogue capability - continue asking questions in the same session
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Try different expressions to find the interaction style that works best for you
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Make full use of the free quota before deciding whether to upgrade
