Adaptive ML offers a comprehensive platform for organizations to fine-tune and deploy open AI models within their own infrastructure. By leveraging reinforcement learning techniques, such as Reinforcement Learning from Human Feedback (RLHF) and Reinforcement Learning from AI Feedback (RLAIF), Adaptive ML ensures that models achieve optimal performance tailored to specific business needs. This approach allows companies to maintain control over their data and model updates, enhancing security and compliance.
The platform provides tools for fast inference, feedback collection, safety guardrails, and automated A/B testing, all within the privacy of the user’s cloud environment. This enables continuous monitoring and improvement of model outputs, ensuring alignment with business objectives. Adaptive ML’s user-friendly interface allows for seamless integration into existing systems without requiring extensive reinforcement learning expertise, accelerating the adoption of generative AI solutions across various industries.