The LLM Platform is a full-stack enterprise solution for building, tuning, and deploying applications powered by large language models. Originally developed as an incubation project, it delivers the core functionality of an AI development studio—enabling teams to experiment, validate, customize, and operationalize LLMs within a unified system.
The platform brings together multiple components, including an interactive Prompt Lab for real-time prompt testing and a powerful Tuning Studio for prompt tuning and parameter-efficient fine-tuning. These are delivered through a modern web application backed by a scalable API layer and modular backend services.
Built on open-source technologies and proven frameworks, the platform is designed for extensibility, security, and performance at scale. Its architecture supports both technical users and cross-functional teams, making it a robust foundation for enterprise-grade AI adoption.
Key components:
- Interactive Prompt Lab
- Tuning Studio
- Web Application (UI & Docs)
- High-Performance API Layer
- Microservice architecture
- Developer SDKs and CLI Tools
- Python Model Service
- Headless CMS & Docs Engine
- Security & RBAC
- Scalability Framework