diff --git a/Topics/Tech_Stacks/fine-tuning-ml/fine-tuning.md b/Topics/Tech_Stacks/fine-tuning-ml/fine-tuning.md
index b8dcd1000..4494a9f93 100644
--- a/Topics/Tech_Stacks/fine-tuning-ml/fine-tuning.md
+++ b/Topics/Tech_Stacks/fine-tuning-ml/fine-tuning.md
@@ -71,7 +71,7 @@ There is a sidebar containing code that can be useful for learning how others ha
 ## Setting up Training
 
 Before training, it is important to note that if a GPU is available, using it would speed up training time significantly.
-![GPU testing](./Screenshot%202024-03-17%20225750.png)
+![GPU testing](./DetectingGPU.png)
 To send a PyTorch tensor or PyTorch Module to the GPU, use the method ".to(device)". 
 
 ![Freezing and Overwriting](./OverWritingLastWeights.png)
@@ -92,4 +92,4 @@ In this document, we have explored the process of fine-tuning a pre-trained mach
 
 We delved into the specifics of setting up the training process, including freezing the weights of the pre-trained model to preserve its feature extraction capabilities, and replacing the final layer of the model to adapt it to the new task.
 
-Having learned what model fine-tuning is and its applications, I hope any reader of this can add this useful skill to their arsenal of software engineering/machine learning skills.
\ No newline at end of file
+Having learned what model fine-tuning is and its applications, I hope any reader of this can add this useful skill to their arsenal of software engineering/machine learning skills.