Update README.md

README.md

@@ -15,7 +15,7 @@ using the LLM-Pruner from [`LLM-Pruner: On the Structural Pruning of Large Langu
 Done to test viability of LLM-Pruner for task-agnostic, low resource Generative AI for Commercial and Personal Use
 compared to using out-of-the-box models like [`meta-llama/Llama-3.2-3B-Instruct`](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct)
 
-Our presentation slides may be found [here](https://drive.google.com/file/d/1SUGGgOAq-mizqwM_KveBQ2pWdyglPVdM/view?usp=sharing)
+[Our presentation slides may be found here](https://drive.google.com/file/d/1k-2afwk5YyQ-YEH76j-JBDfgO5_90XPF/view?usp=sharing)
 
 # To replicate,
 
@@ -33,7 +33,7 @@ python llama3.py --pruning_ratio 0.25 \
 ```
 to get the pruned model.
 
-**NOTE**: 
+**NOTE**: To fit the commercial and personal use settings:
 - We removed `'ptb'` from the datasets in `llama3.py` since it requires foreign code to load.
 - We change `get_examples` in `llama3.py` to use `'c4'` since bookcorpus requires foreign code to load.