Adaptive ML: Revolutionizing Generative AI
Adaptive ML is a cutting-edge AI platform that offers a plethora of features to drive generative AI adoption. It allows privately tuning and deploying open models using reinforcement learning to achieve frontier performance.
The Adaptive Engine is a standout feature. It enables model adaptation with RLHF & RLAIF, ensuring fast inference, feedback collection, safety guardrails, and automated A/B testing. All of this is done in the privacy of your cloud, keeping your data secure.
With Adaptive ML, you can continuously monitor and improve the quality of model outputs. Automated A/B testing and reinforcement learning from user feedback guarantee and enhance the quality of the results.
It also allows you to track performance on your use case by capturing business KPIs, user metrics, and usage statistics in one place. This enables you to optimize models to directly drive the outcomes that matter to your business.
Another advantage is the ability to supercharge your LLMs with reinforcement learning and fast inference to go beyond frontier models in your cloud. And, you can deploy and tune models quickly and easily, as the Adaptive Engine is a simple drop-in for your existing LLM API, requiring no RL knowledge.
Adaptive ML also offers in-house preference tuning with Harmony, a unified Rust+Python codebase for inference, training, and RL.
In conclusion, Adaptive ML is a comprehensive solution for those looking to build singular generative AI experiences and take their AI capabilities to the next level.
