DecisionBox SDK

DecisionBox SDK

Improve your LLM-based app with smarter decisions using ML

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Escape the headache of prompt engineering, and use Machine Learning to continuously improve decisions in your app with more data. DecisionBox deploys a task-specific Classifier and provides a one click experience for data labeling, training and promote.
DecisionBox SDK gallery image
Free
Launch tags:Developer Tools•Artificial Intelligence•GitHub
Launch Team
Tines
Tines
The intelligent workflow platform
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What do you think? …

John Wyss
Maker
📌
No heavyweight data science process is needed! Single container install, you'll be quickly adding ML to key decisions in your app such as tool selection and model routing. Suitable whether you have extensive data science expertise or not. See your accuracy improve with each training, and chart it over time to show your stakeholders that your app is getting smarter with more usage. This is a great way to take a quick prototype or pilot app to carrying a critical production workload, with ongoing accuracy metrics. Check out our OSS project and please provide your feedback!
Liam Patrick O'Connor
Looks like a solid tool! Haven't dived deep into the code yet, but the idea of tracking ML model performance over time is really promising. Super cool to have something that doesn't need heavy data science setup! Congrats on the launch!
John Wyss
Maker
@liampatrick thanks Liam, eager to hear from you on the experience!