Adaptive Engine

Adaptive Engine is a software tool designed for enterprise AI teams that need to evaluate, tune, and deploy large language models. It emphasizes reinforcement learning-based tuning, synthetic data methods, and production feedback loops to align models with business KPIs. The tool is a platform for managing model performance, experimentation, and deployment in a scalable way.

The product supports tuning through reinforcement learning methods, including one-click PPO, GRPO, DPO, and more, with options for full model or adapter tuning. It also enables learning from AI and human feedback, and provides synthetic data recipes to accelerate model refinement.

Adaptive Engine offers inference-time strategies to improve reasoning, including automated reasoning tuning and test-time search. It records metrics and provides a way to monitor and optimize model performance during inference, aiming to keep models aligned with evolving requirements.

The platform highlights production feedback workflows and customizable tuning pipelines. Users can leverage Python recipes and custom jobs to tailor experiments, evaluations, and deployments to their specific needs.

Use cases

• RAG workflows for retrieval-augmented generation
• Customer support and workflow automation