NomadicML

NomadicML's SDK and Workspace auto-optimizes the hyperparameters of your entire AI system, from your LLM(s) to RAGs, and your Guardrails & prompt-tuners. The Nomadic Platform enables auto-HPO of your ML system in both development (against your local test datasets & regression tests) and in production (against your real-time data of your users), which enables robustness of AI systems with unseen data.

Key Features

Fast experimentation: Centralized platform designed for teams
Systematic Optimization: Rapid convergence to the best settings
Custom Evaluation: Standard & LLM-as-a-judge evals out of the box
Continuous tuning: Robust & continuous insights

Use Cases

Personalization of AI systems; implement once, optimize for different user groups & use cases
Cost-efficiency and performance maximization of compound AI components
Rapid experimentation & prototyping of ML systems: go from MVP to prod in a matter of minutes