Superpipe
Superpipe is a lightweight framework for building, evaluating, and optimizing LLM pipelines for structured data.
About Superpipe
Superpipe is an AI tool designed specifically for building, evaluating, and optimizing LLM (Labeling, Extraction, Classification, and Tagging) pipelines for structured data. It provides a lightweight framework that allows users to glue together existing building blocks from other libraries and their own logic, abstracting away complex calculations related to cost, speed, and accuracy. With Superpipe, users can easily evaluate pipelines on their own data and optimize models, prompts, and other parameters to achieve the best possible accuracy, cost, and speed.
Key Features
- Allows for easy building, evaluation, and optimization of LLM pipelines.
- Enables hyperparameter grid search for trying different models, values, prompts, etc.
- Provides a lightweight framework that abstracts away complex calculations.
- Allows for the combination of building blocks from other libraries and user-defined logic.
- Enables evaluation of pipelines using user's own data.
- Optimizes models, prompts, and other parameters for better accuracy, cost, and speed..
Use Cases
- Building, evaluating, and optimizing LLM pipelines for structured data.
- Labeling and extraction of structured data.
- Classification and tagging of structured data.
- Evaluating pipelines on user's own data.
- Optimizing models, prompts, and other parameters for improved accuracy, cost, and speed..
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