Which LLM Works Best for Prompt and Response Generation in Chinese (Simplified and Traditional)

Languages at Hugging Face
4

Hi @SameerAhmed-712 !

Great question! Here are some recommendations and insights based on your requirements:

1. Best LLMs for Conversational Tasks in Chinese:

  • GPT Models (e.g., GPT-4): OpenAI’s GPT-4 has strong multilingual capabilities, including Chinese (both Simplified and Traditional). It’s widely used for conversational tasks and generates high-quality, contextually appropriate responses.
  • Claude by Anthropic: Claude performs well in multilingual scenarios, including Chinese, with a focus on producing helpful and aligned responses.
  • MOSS: This is a Chinese-focused LLM developed by Fudan University, specifically designed for tasks in the Chinese language.
  • Ernie Bot (文心一言): Developed by Baidu, this model is optimized for Chinese and performs well in generating responses for conversational tasks.
  • ChatGLM: A Chinese-centric LLM that supports both Simplified and Traditional Chinese. It’s also tailored for conversational applications.
  • Ziya (紫夜): Another strong Chinese-focused model designed for high-quality natural language understanding and generation.

2. Leaderboards or Benchmarks for LLMs in Chinese:

  • CLUE Benchmark: The Chinese Language Understanding Evaluation (CLUE) benchmark is the most widely recognized evaluation standard for Chinese language tasks. It includes various tasks like sentiment analysis, question answering, and text classification.
  • Hugging Face Leaderboards: Check Hugging Face’s leaderboard for Chinese-specific models under various tasks.
  • SuperGLUE Multilingual Extensions: Though less Chinese-specific, it includes some cross-lingual benchmarks.

3. Multilingual LLMs for Chinese and English:

  • GPT-4: A leading choice for multilingual applications, as it maintains high-quality responses in both English and Chinese, making it suitable for diverse use cases.
  • XGLM by Facebook (Meta): This model supports a wide range of languages, including Chinese and English, designed for multilingual natural language generation.
  • BLOOM: An open-source multilingual model trained on 46 languages, including Simplified and Traditional Chinese.
  • mT5 (Multilingual T5): A multilingual variant of the T5 model that supports both English and Chinese tasks.

Recommendations:

For conversational tasks in Chinese, GPT-4 or Baidu’s Ernie Bot are top-tier choices, depending on whether you need a general-purpose model or one optimized for Chinese. If you need strong multilingual capabilities, GPT-4 or BLOOM are excellent options.

If you’re experimenting with open-source models, give ChatGLM or MOSS a try for Chinese-specific tasks.

Hope this helps! Let me know if you’d like further details or implementation tips.

Best,
Alan Turner

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