We're on a mission to make machine learning more accessible, optimized, and effective. With our suite of tools like Vectorboard, we aim to simplify complex tasks ranging from hyperparameter tuning to model evaluation.

In the age of AI, optimizing your models can make or break your application. Tools like Vectorboard allow you to fine-tune your models in ways that were previously complex or cumbersome, enabling you to deliver smarter applications more quickly.

• What it is: A Framework to Optimize and Eval Your RAG Embeddings.
• Why it's awesome: It takes the guesswork out of optimizing RAG pipelines, making your machine learning models more effective and efficient.
• Current Status: Alpha 0.0.1
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We're always looking for contributors who can bring fresh perspectives and ideas to our projects. Check out our Contribution Guidelines and Code of Conduct to get started.

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