Superpipe Studio
Open source LLM experimentation and optimization platform
Listed in categories:
Artificial IntelligenceOpen SourceDeveloper Tools
Description
Superpipe is an OSS experimentation platform for LLM pipelines that allows users to build, evaluate, and optimize their pipelines to increase accuracy and reduce costs. It can be deployed on your own infrastructure.
How to use Superpipe Studio?
To use Superpipe, install the Superpipe SDK by running 'pip install superpipepy'. You can then build multistep pipelines, experiment with parameters, manage datasets, compare experiments, and observe pipelines.
Core features of Superpipe Studio:
1️⃣
Build multistep pipelines
2️⃣
Experiment with parameters like models, prompts, and number of RAG results
3️⃣
Dataset management
4️⃣
Compare experiments across cost, speed, and accuracy
5️⃣
Observe pipelines and deep dive into logs
Why could be used Superpipe Studio?
| # | Use case | Status | |
|---|---|---|---|
| # 1 | Build golden sets with easy ground truth labeling tools | ✅ | |
| # 2 | Experiment with different models and prompts | ✅ | |
| # 3 | Optimize pipelines for cost and accuracy | ✅ | |
Who developed Superpipe Studio?
Superpipe was developed by Village Computing Company, formerly Stelo Labs, as an internal project to aid in pipeline development. The UI was polished and Studio was launched for public use.