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Update README.md

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@@ -65,5 +65,12 @@ outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7,
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  print(outputs[0]["generated_text"])
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  ```
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  ## Thanks
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  Thanks to Google Colab for the compute.
 
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  print(outputs[0]["generated_text"])
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  ```
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+ Output:
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+ ```text
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+ A large language model is a type of artificial intelligence system that has been trained on a massive amount of data, often millions or even billions of words, to learn the patterns and relationships between words and phrases.
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+ These models can then be used to generate new text, understand and translate languages, and perform various natural language processing tasks.
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+ They have become increasingly popular in recent years due to advances in machine learning technology and their ability to achieve high levels of accuracy and performance on natural language processing tasks.
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+ Examples of large language models include GPT-2, BERT, and T5.
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+ ```
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  ## Thanks
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  Thanks to Google Colab for the compute.