ShelbyJenkins/llm_utils
llm_utils: Basic LLM tools, best practices, and minimal abstraction.
This tool helps developers working with large language models to prepare text data more effectively. It takes raw text or HTML and processes it into cleaned, consistently sized, and semantically segmented chunks. This is used by developers building applications like chatbots, search engines, or summarization tools that rely on feeding well-structured text to an LLM.
No commits in the last 6 months.
Use this if you are a developer building LLM-powered applications and need to reliably clean, segment, and chunk text data to improve model performance and retrieval accuracy.
Not ideal if you need a high-level, off-the-shelf NLP solution that doesn't require direct code integration, or if your application demands highly advanced, model-based semantic splitting beyond rule-based methods.
Stars
48
Forks
3
Language
Rust
License
MIT
Category
Last pushed
Feb 18, 2025
Monthly downloads
43
Commits (30d)
0
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