Show HN: Semlib – Semantic Data Processing
5 hours ago
- #Python
- #LLM
- #Data Processing
- Semlib is a Python library for building data processing and analysis pipelines using large language models (LLMs).
- It provides functional programming primitives like map, reduce, sort, and filter, implemented with natural language descriptions.
- Semlib handles complexities such as prompting, parsing, concurrency control, caching, and cost tracking.
- Benefits include higher quality results, feasibility for large datasets, reduced latency, cost optimization, enhanced security, and flexibility.
- Examples include sorting presidents by political leaning and calculating their ages at inauguration.
- Semlib allows breaking down tasks into simpler steps, enabling the use of smaller, cheaper models for subtasks.
- The library supports both LLM-based and traditional Python code steps for optimal flexibility.
- Academic users are encouraged to cite the provided reference when using Semlib.