aixsatoshi
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Update README.md
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README.md
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@@ -133,11 +133,16 @@ streamer = TextStreamer(tokenizer)
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# Define the English prompt
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english_prompt = """
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Machine translation accuracy varies greatly across languages.
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To address these challenges, developers employ neural networks and deep learning techniques, which adapt to linguistic variations and learn from vast amounts of text.
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Furthermore, user feedback plays a crucial role in refining translation algorithms.
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"""
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# Prepare the prompt for English to Japanese translation
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# Define the English prompt
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english_prompt = """
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Machine translation accuracy varies greatly across languages.
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Key challenges include context understanding, idiomatic expressions, and syntactic differences.
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Advanced models leverage AI to enhance translation quality, focusing on nuances and cultural relevance.
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To address these challenges, developers employ neural networks and deep learning techniques, which adapt to linguistic variations and learn from vast amounts of text.
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This approach helps in capturing the essence of languages and accurately translating complex sentences.
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Furthermore, user feedback plays a crucial role in refining translation algorithms.
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By analyzing corrections and suggestions, machine translation systems can evolve and handle nuanced expressions more effectively.
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This iterative process ensures continuous improvement, making translations more reliable and understandable for a global audience.
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"""
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# Prepare the prompt for English to Japanese translation
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