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@ -31,9 +31,11 @@ Mini LLM Flow is also a *learning resource*, as current frameworks abstract too
<img src="/assets/minillmflow.jpg" width="400"/> <img src="/assets/minillmflow.jpg" width="400"/>
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## Tutorial ## How Does it Work?
- Please check out documentation: https://minillmflow.github.io/miniLLMFlow/ The [100 lines](minillmflow/__init__.py) capture what we see as the core abstraction of most LLM frameworks: a **nested directed graph** that breaks down tasks into multiple (LLM) steps, with branching and recursion for agent-like decision-making. From there, it’s easy to layer on more complex features.
- To learn more details, please check out documentation: https://minillmflow.github.io/miniLLMFlow/
- Beginner Tutorial: [Text summarization for Paul Graham Essay + QA agent](https://colab.research.google.com/github/zachary62/miniLLMFlow/blob/main/cookbook/demo.ipynb) - Beginner Tutorial: [Text summarization for Paul Graham Essay + QA agent](https://colab.research.google.com/github/zachary62/miniLLMFlow/blob/main/cookbook/demo.ipynb)