Understanding Batch Size in AI Training!

Batch size plays a critical role in training AI models. It defines how many data samples the model processes at a time before updating its parameters.

✅ Small Batch Size:
✔️ More updates per epoch
✔️ Better generalization
❌ Slower training

✅ Large Batch Size:
✔️ Faster training
✔️ Uses more GPU power efficiently
❌ May lead to overfitting

Choosing the right batch size is key to balancing training speed and model performance! What batch size do you use? Comment below!

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