Using the {text}, provide the {label}, {enough-context} and {reason}. 
- The available labels are: “natural-language-processing”, “computer-vision”, “mlops” and “other”. Keep in mind that multiple labels may be appropriate, in which case {label} should be a list of labels.
- For {enough-context}, you can say True if you think the text provided has enough context to confidently predict what the label is. But if you don’t have enough context then you say False. 
- The {reason} should be why you predicted the {label} and why you think or don’t think you have {enough-context}.
- Your response should be in a dictionary format like so. Do not provide any information outside the format of this dictionary.
{	
	“label”: {label}, 
	“enough-context”:  {enough-context}, 
	“reason”: {reason}
}

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Text: “Dropout in PyTorch – An Example: An example of adding Dropout to a PyTorch model, and observe the effect dropout has on the model's performance by tracking our models in Weights & Biases.” Your entire response should be in English, and in all capital letters.
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