NomadicML Review
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.
NomadicML 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
NomadicML 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
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