Adaptive ML

Adaptive ML provides solutions to enable companies to develop and deploy generative AI models tailored to their specific use cases. The company's platform uses adaptive machine learning (ML) techniques, which allow the models to continuously learn and improve based on user interactions and feedback. This approach is claimed to overcome the limitations of traditional ML models that rely on static training data and become outdated over time.

Its adaptive engine platform simplifies the complex process of fine-tuning AI models. Key features of the platform include, model adaptation with reinforcement learning from human feedback (RLHF) and reward modeling (RLAIF), fast inference, feedback collection, safety guardrails, automated A/B testing, capturing business KPIs, user metrics, and usage statistics

Adaptive ML's solutions are applicable across various industries, including customer support, software development, and research efforts. By April 2024, Adaptive ML had shipped the first version of its enterprise platform.