Update README.md

README.md

@@ -133,10 +133,11 @@ streamer = TextStreamer(tokenizer)
 
 # Define the English prompt
 english_prompt = """
-Machine translation accuracy varies greatly across languages.
-Key challenges include context understanding, idiomatic expressions, and syntactic differences.
-Advanced models leverage AI to enhance translation quality, focusing on nuances and cultural relevance.
-Continuous updates and training on diverse datasets are essential for improving accuracy and expanding language support, making global communication more accessible and effective.
+Machine translation accuracy varies greatly across languages. Key challenges include context understanding, idiomatic expressions, and syntactic differences. Advanced models leverage AI to enhance translation quality, focusing on nuances and cultural relevance.
+
+To address these challenges, developers employ neural networks and deep learning techniques, which adapt to linguistic variations and learn from vast amounts of text. This approach helps in capturing the essence of languages and accurately translating complex sentences.
+
+Furthermore, user feedback plays a crucial role in refining translation algorithms. By analyzing corrections and suggestions, machine translation systems can evolve and handle nuanced expressions more effectively. This iterative process ensures continuous improvement, making translations more reliable and understandable for a global audience.
 """
 
 # Prepare the prompt for English to Japanese translation