What is Hegel AI?
Offers a developer platform designed for creating, overseeing, and enhancing large language model (LLM) applications. The platform includes PromptTools, an open-source SDK and playground, enabling teams to develop prompts, models, and pipelines through experimentation. Users can monitor applications in production, collect custom metrics, and leverage feedback for continuous improvement.
The system facilitates evaluation using various methods, including human-in-the-loop annotation, LLM-based auto-evaluation, and custom evaluation functions within code. It supports integrations with numerous LLMs, vector databases, and frameworks to facilitate LLM application development across different industries and company sizes.
The system facilitates evaluation using various methods, including human-in-the-loop annotation, LLM-based auto-evaluation, and custom evaluation functions within code. It supports integrations with numerous LLMs, vector databases, and frameworks to facilitate LLM application development across different industries and company sizes.
Features
- PromptTools SDK & Playground: Open-source tools for developing prompts, models, and pipelines with experiments.
- Production Monitoring: Monitor LLM systems in production and gather custom metrics.
- Feedback Integration: Use feedback to improve prompts over time.
- Multi-Approach Evaluation: Evaluate systems using human annotation, LLM auto-evaluation, and code functions.
- Wide Integrations: Supports integration with various LLMs, vector databases, and frameworks.
Use Cases
- Developing and testing prompts for LLM applications.
- Building complex LLM retrieval pipelines.
- Monitoring the performance and cost of LLM applications in production.
- Evaluating the quality of LLM responses.
- Iteratively improving LLM prompts based on evaluations and user feedback.
- Managing LLM application development workflows for teams.
