emirsahin1/llm-axe
A simple, intuitive toolkit for quickly implementing LLM powered applications.
This toolkit helps developers quickly build applications powered by large language models (LLMs). It takes raw data like PDF documents, text snippets, or images, and an LLM, then outputs structured information, summarized content, or interactive agents. Software engineers and AI developers can use this to integrate LLM capabilities into their applications without extensive boilerplate code.
275 stars. No commits in the last 6 months.
Use this if you are a developer looking for simple, intuitive abstractions to add LLM features like function calling, document reading, data extraction, or online search to your applications.
Not ideal if you need a full-fledged, opinionated framework for complex, multi-agent LLM orchestration or deep learning research.
Stars
275
Forks
39
Language
Python
License
MIT
Category
Last pushed
Jan 05, 2025
Commits (30d)
0
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