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Home Artificial Intelligence (AI)

LG EXAONE Deep is a maths, science, and coding buff

Adam Smith – Tech Writer & Blogger by Adam Smith – Tech Writer & Blogger
March 18, 2025
in Artificial Intelligence (AI)
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Introduction to EXAONE Deep

LG AI Research has unveiled EXAONE Deep, a reasoning model that excels in complex problem-solving across maths, science, and coding. The company highlighted the global challenge in creating advanced reasoning models, noting that currently, only a handful of organisations with foundational models are actively pursuing this complex area. EXAONE Deep aims to compete directly with these leading models, showcasing a competitive level of reasoning ability.

Performance and Capabilities

The performance benchmarks released by LG AI Research are impressive. In maths, the EXAONE Deep 32B model outperformed a competing model, despite being only 5% of its size, in a demanding mathematics benchmark. Furthermore, the 7.8B and 2.4B versions achieved first place in all major mathematics benchmarks for their respective model sizes. In science and coding, the EXAONE Deep models (7.8B and 2.4B) have secured the top spot across all major benchmarks.

Key Achievements

  • Maths: The EXAONE Deep models have demonstrated exceptional mathematical reasoning skills across their various model sizes (32B, 7.8B, and 2.4B).
  • Science and Coding: The models have also showcased remarkable capabilities in professional science reasoning and software coding.
  • MMLU (Massive Multitask Language Understanding): The 32B model achieved a score of 83.0 on the MMLU benchmark, which LG AI Research claims is the best performance among domestic Korean models.

Recognition and Impact

The capabilities of the EXAONE Deep 32B model have already garnered international recognition. Shortly after its release, it was included in the ‘Notable AI Models’ list by US-based non-profit research organisation Epoch AI. This listing places EXAONE Deep alongside its predecessor, EXAONE 3.5, making LG the only Korean entity with models featured on this prestigious list in the past two years.

Enhanced General Knowledge

Beyond its specialised reasoning capabilities, EXAONE Deep has also demonstrated improved performance in general knowledge understanding. The 32B model achieved an impressive score of 83.0 on the MMLU benchmark, positioning it as the top-performing domestic model in this comprehensive evaluation. This indicates that EXAONE Deep’s reasoning enhancements extend beyond specific domains and contribute to a broader understanding of various subjects.

Conclusion

LG AI Research believes that EXAONE Deep’s reasoning advancements represent a leap towards a future where AI can tackle increasingly complex problems and contribute to enriching and simplifying human lives through continuous research and innovation. As AI technology continues to evolve, models like EXAONE Deep are paving the way for more sophisticated and capable artificial intelligence that can assist in a wide range of fields, from mathematics and science to coding and beyond.

FAQs

  • What is EXAONE Deep? EXAONE Deep is a reasoning model developed by LG AI Research that excels in complex problem-solving across maths, science, and coding.
  • What are the key achievements of EXAONE Deep? EXAONE Deep has achieved top rankings in major benchmarks for maths, science, and coding, and has demonstrated improved performance in general knowledge understanding.
  • Has EXAONE Deep received any international recognition? Yes, the EXAONE Deep 32B model was included in the ‘Notable AI Models’ list by US-based non-profit research organisation Epoch AI.
  • What does the future hold for EXAONE Deep and similar AI models? According to LG AI Research, EXAONE Deep’s advancements represent a leap towards a future where AI can tackle increasingly complex problems and contribute to enriching and simplifying human lives.
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Adam Smith – Tech Writer & Blogger

Adam Smith – Tech Writer & Blogger

Adam Smith is a passionate technology writer with a keen interest in emerging trends, gadgets, and software innovations. With over five years of experience in tech journalism, he has contributed insightful articles to leading tech blogs and online publications. His expertise covers a wide range of topics, including artificial intelligence, cybersecurity, mobile technology, and the latest advancements in consumer electronics. Adam excels in breaking down complex technical concepts into engaging and easy-to-understand content for a diverse audience. Beyond writing, he enjoys testing new gadgets, reviewing software, and staying up to date with the ever-evolving tech industry. His goal is to inform and inspire readers with in-depth analysis and practical insights into the digital world.

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