🚧 Coming Soon
This repository is currently under development and will be available soon.
CacheAI Python Library is a high-performance client library for interacting with Cache LLM Web API services. It provides intelligent caching mechanisms that dramatically reduce response times for large language model (LLM) inference.
Cache AI addresses critical AI challenges:
- High Costs & Energy Use: Training and maintaining large models is resource-heavy and unsustainable
- Inaccurate Outputs: AI-generated errors or "hallucinations" undermine trust in critical sectors
- Security & Privacy Risks: Sensitive data vulnerable to breaches and prompt injection attacks
- Reduce Cost & Power Use: Delivers the same performance at low server cost with significantly lower energy needs
- Reduces Errors: Building personalized cache improves accuracy and reduces hallucination
- Safe & Secure: Detects hacking attempts and confidential information leaks through cache monitoring
- Intermediate Layer Caching: Uses hashed values of LLM intermediate layer representations as cache keys
- Deep Learning Cache Keys: Converts LLM internal states into efficient cache keys
- Transparent Integration: Drop-in replacement for standard LLM interfaces
- ⚡ Dramatic Speed Improvements: Cache hits eliminate model inference entirely
- 📈 Scalable Architecture: Efficient storage using CacheDB key-value store
- 🔄 Seamless Integration: Compatible with existing LLM workflows
- 💾 Flexible Cache Management: Users can manage cache storage locally or in the cloud, with persistent data
Perfect for applications requiring high-performance LLM inference:
- Chatbots & Virtual Assistants: Lightning-fast responses for common queries
- Content Generation: Efficient handling of similar prompts and templates
- Q&A Systems: Rapid retrieval of previously answered questions
- Healthcare & Finance: Critical applications requiring accuracy and reliability
- Security Monitoring: Hacking detection and confidential information leak prevention
- Educational Platforms: Quick responses to frequently asked questions
- Customer Support: Instant answers to common support queries
This project is currently in active development. We are working on:
- Core library implementation
- Performance benchmarks
- Web API client integration
- Comprehensive documentation
- Example applications
This technology is based on advanced research in LLM optimization and caching mechanisms. Core technologies are protected by granted patents.
This project will be released under the MIT License.
For early access, partnership opportunities, or technical inquiries:
- Organization: Geek Guild Co., Ltd. https://www.geek-guild.com/
- Repository: https://github.com/geek-guild/cacheai
- Issues: Will be available once the repository is public
Stay tuned for the official release! ⭐ Star and 👀 watch this repository to get notified when CacheAI Python Library becomes available.
- Cache Transformers - Core Cache LLM implementation and research