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README.md

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 `Orkhan/llama-2-7b-absa` is a fine-tuned version of the Llama-2-7b model, optimized for Aspect-Based Sentiment Analysis (ABSA) using a manually labelled dataset of 200 sentences. 
 This enhancement equips the model to adeptly identify aspects and accurately analyze sentiment, making it a valuable asset for nuanced sentiment analysis in diverse applications.
+Its advantage over traditional Aspect-Based Sentiment Analysis models is you do not need to train a model with domain-specific labeled data as the llama-2-7b-absa model generalizes very well. However, you may need more computing power.
 
 While inferencing, please note that the model has been trained on sentences, not on paragraphs.
 It fits T4-GPU-enabled free Google Colab Notebook.