LG Unveils Open-Source AI Model EXAONE 3.0,Designed for English and Korean
Seoul, South Korea – LG AI Researchhas released EXAONE 3.0, an open-source AI model specifically designed for English and Korean. This powerful model, boasting 780million parameters, excels in language tests for both languages, particularly in real-world use cases and mathematical coding. Compared to its predecessor, EXAONE 3.0 boasts significant improvements in inference speed, memory usage, and operational costs.
The model has been trained on 60 million professional data cases, with plans to expand to 100 million by the end of the year. It is available for access on the Hugging Face platform.
Key Features of EXAONE 3.0
- Bilingual Support: EXAONE 3.0 is specifically designed for English and Korean,enabling it to handle natural language processing tasks for both languages.
- High Performance: The model demonstrates superior performance in various tests for both English and Korean, including real-world use cases and mathematical coding abilities.
- Open Source: The model’s code and training data are publicly available, allowing researchers anddevelopers to utilize and further explore its capabilities.
- Optimized Efficiency: Compared to its predecessor, EXAONE 3.0 boasts a 56% reduction in inference time, a 35% decrease in memory usage, and a 72% decrease in operational costs.
- Specialized DomainTraining: The model has been trained on 60 million data cases from specialized fields like patents, code, mathematics, and chemistry.
Technical Principles
EXAONE 3.0 employs a decoder-only Transformer architecture, a variant of the Transformer model that excludes the encoder component, relying solely on thedecoder. This architecture allows for more direct and faster text generation as the decoder directly generates the output sequence.
The model’s large parameter count of 780 million enables it to capture complex language patterns and relationships, enhancing its ability to understand and generate text. Its bilingual nature, trained specifically for English andKorean, allows it to handle natural language understanding (NLU) and natural language generation (NLG) tasks for both languages.
The model has been trained on 8TB of data, encompassing a wide range of linguistic materials, contributing to its enhanced generalization ability and accuracy.
Applications of EXAONE3.0
EXAONE 3.0 holds vast potential for various applications, including:
- Language Translation: The model supports translation tasks between English and Korean, facilitating cross-language communication and information exchange.
- Text Generation: It can be utilized for generating creative writing, news articles,social media content, and more.
- Question Answering Systems: EXAONE 3.0 can power intelligent question answering systems, providing users with accurate and swift information feedback.
- Text Summarization: The model can automatically generate summaries of documents or web pages, enabling users to quickly grasp the main content.
Availability and Future Prospects
The EXAONE 3.0 model is readily accessible through the following resources:
- Project Website: https://www.lgresearch.ai/blog/view?seq=460
- GitHub Repository: https://github.com/LG-AI-EXAONE/EXAONE-3.0
- Hugging Face Model Hub: https://huggingface.co/LGAI-EXAONE
LG AI Research continues to invest in developing and refining its AI models, aiming to create cutting-edge technologies that contribute to advancementsin various fields. EXAONE 3.0 represents a significant step towards achieving this goal, offering a powerful and versatile open-source tool for researchers and developers working with English and Korean languages.
【source】https://ai-bot.cn/exaone-3/
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