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Osmosis is a reinforcement learning platform that helps companies train task-specific AI models. It enables the creation, deployment, and continuous improvement of intelligent systems with hands-on integration and real-time feedback.
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About
Osmosis is a forward-deployed reinforcement learning platform designed to help companies develop and refine task-specific AI models. It offers a comprehensive post-training platform that allows engineers to leverage cutting-edge reinforcement learning techniques and capabilities, such as multi-turn tool training, without the infrastructure overhead. The platform supports hands-on deployments, working directly with customers through the entire post-training workflow, from feature engineering to reward function creation. Osmosis also integrates with evaluation solutions to monitor performance and automatically initiate re-training runs, ingesting real-time data to update models as frequently as hourly. This ensures continuous improvement and adherence to customer specifications, ultimately helping models outperform foundation models at a fraction of the cost.
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Likely Not Free
Not publicly disclosed. Check gulp.ai for current pricing.
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