sutro-sh/sutro
Analyze and generate unstructured data using LLMs, from quick experiments to billion token jobs.
This project helps data scientists and analysts quickly process large volumes of unstructured text, like customer reviews or product descriptions, using AI models. You feed in your raw text data, and it delivers structured outputs such as sentiment classifications, extracted key information, or newly generated synthetic data. It’s ideal for anyone needing to derive insights or create new datasets from text at scale.
Use this if you need to rapidly analyze, classify, or generate text data using AI models without managing complex infrastructure or incurring high costs for large-scale operations.
Not ideal if your primary need is real-time, low-latency AI inference for single queries rather than high-throughput batch processing of large datasets.
Stars
12
Forks
1
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 17, 2026
Commits (30d)
0
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