Update README.md

README.md

@@ -31,7 +31,7 @@ The model outperforms [Llama3.1-70B-Instruct](https://huggingface.co/meta-llama/
 
 The pipeline we used to produce the data and models is fully open-sourced!
 
-- [Code](https://github.com/Kipok/NeMo-Skills)
+- [Code](https://github.com/NVIDIA/NeMo-Skills)
 - [Models](https://huggingface.co/collections/nvidia/openmath-2-66fb142317d86400783d2c7b)
 - [Dataset](https://huggingface.co/datasets/nvidia/OpenMathInstruct-2)
 
@@ -40,9 +40,9 @@ See our [paper](https://arxiv.org/abs/2410.01560) to learn more details!
 # How to use the models?
 
 Our models are trained with the same "chat format" as Llama3.1-instruct models (same system/user/assistant tokens). 
-Please note that these models have not been instruction tuned on general data and thus might not provide good answers outside of math domain. 
+Please note that these models have NOT been instruction-tuned on general data and thus might not provide good answers outside of the math domain. 
 
-We recommend using [instructions in our repo](https://github.com/Kipok/NeMo-Skills/blob/main/docs/inference.md) to run inference with these models, but here is
+We recommend using [instructions in our repo](https://github.com/NVIDIA/NeMo-Skills/blob/main/docs/basics/inference.md) to run inference with these models, but here is
 an example of how to do it through transformers api:
 
 ```python
@@ -74,7 +74,7 @@ print(outputs[0]["generated_text"][-1]['content'])
 
 # Reproducing our results
 
-We provide [all instructions](https://github.com/Kipok/NeMo-Skills/blob/main/docs/reproducing-results.md) to fully reproduce our results.
+We provide [all instructions](https://github.com/NVIDIA/NeMo-Skills/blob/main/docs/openmathinstruct2/index.md) to fully reproduce our results.
 
 ## Citation