Update README.md

mit-han-lab · Oct 23, 2023 · de720b4 · de720b4
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@@ -6,6 +6,7 @@ Running large language models (LLMs) on the edge is useful: copilot services (co
 
 This is enabled by LLM model compression technique: [SmoothQuant](https://github.com/mit-han-lab/smoothquant) and [AWQ (Activation-aware Weight Quantization)](https://github.com/mit-han-lab/llm-awq), co-designed with TinyChatEngine that implements the compressed low-precision model. 
 
+Feel free to check out our [slides](assets/slides.pdf) for more details!
 
 ### Demo on an NVIDIA GeForce RTX 4070 laptop:
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@@ -47,8 +48,6 @@ This is enabled by LLM model compression technique: [SmoothQuant](https://github
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-Feel free to check out our [slides](assets/slides.pdf) for more details!
-
 
 ## Overview
 ### LLM Compression: SmoothQuant and AWQ