Update README.md

README.md

@@ -95,7 +95,7 @@ The method uses NormalFloat 4-bit (NF4), a new data type that is theoretically o
 - Also, we performed instruction tuning using the data that we collected and the kyujinpy/KOR-OpenOrca-Platypus-v3 dataset on the hugging face. 
 Instruction tuning is learning in a supervised learning format that uses instructions and input data together as input and output data as a pair.
 In other words, instruction tuning involves fine-tuning a pre-trained model for a specific task or set of tasks, where the model is taught to follow specific instructions or guidelines.
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+Instruction tuning is a type of Supervised Fine-tuning (SFT) that aims to improve the generality and adaptability of a model by introducing an additional dimension that enables the model to understand and follow specific instructions.
 
  
 ## Training Data