Watch our launch 👇🏻
End-to-end Agent Optimization
Watch our launch 👇🏻
Optimize any generic python workflow
Finetune is able to optimize your workflows' prompts, codes and other parameters. All you have to do is add the relevant decorators.
Optimize Now >Finetune can optimize your workflow using generic feedback. Provide the feedback of your choice (rewards/loss, natural language, etc...)
Optimize Now >With Finetune your workflow self-adapts to the feedback received from its environment. No human intervention needed.
Optimize Now >
Finetune generalizes the key technique that enabled deep learning - back-propagation. Given your agent and declared feedback, we create a DAG that represents your workflow's execution. We then back-propagate this graph and find links between the environment feedback received and the parameters to optimize. We reason over this graph and optimize your parameters accordingly. This optimization scales extremely well and we suggest running multiple iterations for improved accuracy.
TL;DR: we optimize your AI workflow so that it's ready for production 🦾
Learn more →Use your favorite frameworks to build your agent then come to us to optimize it :)