Update README.md
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README.md
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README.md
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@ -24,7 +24,7 @@ Pocket Flow is a [100-line](pocketflow/__init__.py) minimalist LLM framework
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- To learn more, check out the [documentation](https://the-pocket.github.io/PocketFlow/). For an in-depth design dive, read the [essay](https://github.com/The-Pocket/.github/blob/main/profile/pocketflow.md).
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- 🎉 We now have a [discord](https://discord.gg/hUHHE9Sa6T)
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- 🎉 We now have a [discord](https://discord.gg/hUHHE9Sa6T)!
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## What can Pocket Flow build?
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@ -41,9 +41,9 @@ Pocket Flow is a [100-line](pocketflow/__init__.py) minimalist LLM framework
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</div>
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- Want to learn how I vibe code these LLM Apps? Check out [my YouTube](https://www.youtube.com/@ZacharyLLM?sub_confirmation=1)
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- Want to learn how I vibe code these LLM Apps? Check out [my YouTube](https://www.youtube.com/@ZacharyLLM?sub_confirmation=1)!
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- Want to create your own Python project? Start with [this template](https://github.com/The-Pocket/PocketFlow-Template-Python)
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- Want to create your own Python project? Start with [this template](https://github.com/The-Pocket/PocketFlow-Template-Python)!
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## Why Pocket Flow?
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@ -51,7 +51,7 @@ Pocket Flow is a [100-line](pocketflow/__init__.py) minimalist LLM framework
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- 😎 **Humans** craft the **high-level requirements and system design**.
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- 🤖 **AI agents** (e.g., Cursor AI) handle the **low-level implementation**
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- 🤖 **AI agents** (e.g., Cursor AI) handle the **low-level implementation**.
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<br>
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@ -63,7 +63,7 @@ Pocket Flow is a [100-line](pocketflow/__init__.py) minimalist LLM framework
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<br>
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Compare to other frameworks, Pocket Flow is <i>purpose-built for LLM Agents</i>
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Compare to other frameworks, Pocket Flow is <i>purpose-built for LLM Agents</i>:
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1. **🫠 LangChain-like frameworks** overwhelm Cursor AI with *complex* abstractions, *deprecated* functions and *irritating* dependency issues.
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@ -79,7 +79,9 @@ In short, the **100 lines** ensures LLM Agents follows *solid coding practices*
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## How does Pocket Flow work?
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The [100 lines](pocketflow/__init__.py) capture what we believe to be the core abstraction of LLM frameworks:
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- **Computation**: A *graph* that breaks down tasks into nodes, with *branching, looping, and nesting*.
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- **Communication**: A *shared store* that all nodes can read and write to.
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<br>
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