The framework also emphasizes improving accuracy through iterative experimentation. Users can define their accuracy benchmarks, run experiments to test different variables, and debug issues with traces. All changes and experiments are version-controlled, enabling team collaboration. Palico Studio serves as the application control panel for prototyping, managing experiments, and reviewing runtime traces. The framework supports building complex LLM applications, measuring component impact on accuracy, finding the best input combination through rapid experimentation, debugging accuracy issues, and deploying applications.
Key takeaways:
- Palico is an LLM Development Framework designed for rapid experimentation, allowing you to build, benchmark, deploy, and debug your LLM applications.
- Palico provides tools for iterative experimentation to improve accuracy, including defining accuracy benchmarks, running experiments, debugging issues with traces, and team collaboration features.
- Palico Studio serves as an application control panel where you can prototype, manage experiments, and review runtime traces.
- Palico supports the full lifecycle of an LLM application, from prototyping to production, with features like flexible prompts, accuracy analysis tools, and deployment via Docker.