Update README.md

README.md

@@ -104,6 +104,15 @@ outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7,
 print(outputs[0]["generated_text"])
 ```
 
+> A large language model is a type of artificial intelligence (AI) model designed to understand and generate human language. It is trained on a massive corpus of text data, which it uses to learn patterns and relationships between words and concepts.
+> Large language models are typically based on a deep learning approach called transformer architecture, which was introduced by the Google research paper "Attention Is All You Need" (2017). These models are designed to handle the complexity of natural language by capturing long-range dependencies and contextual relationships between words.
+> Large language models can perform a variety of tasks, including:
+> - Natural language processing (NLP): large language models can understand and generate text, and can be used for tasks such as text classification, sentiment analysis, and named entity recognition.
+> - Text generation: large language models can generate human-like text, such as chatbots, language translation, and text summarization.
+> - Question answering: large language models can answer questions based on the text they have been trained on.
+> - Conversational AI: large language models can be used to create conversational agents that can understand and respond to user input.
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 ## 🏆 Evaluation Scores
 
 ### Nous