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LG Unveils Korea's First Open Source AI, 'EXAONE 3.0'

In This Article:

- Available for research purposes, contributing to an AI ecosystem

SEOUL, South Korea, Aug. 7, 2024 /PRNewswire/ -- LG AI Research today released its latest AI model, EXAONE 3.0, as open source for research purposes.

To contribute to the development of the AI research ecosystem, LG AI Research has decided to open source the 'lightweight model' of EXAONE 3.0, which is the most versatile in terms of performance and cost-efficiency, so that it can be utilized for various research purposes.

The company is also preparing for the transition to the 'era of everyday AI' by releasing the open beta version of ChatEXAONE, an enterprise AI agent based on EXAONE 3.0, to LG's employees.

EXAONE 3.0 proved global competitiveness with top performance among global open-source AI models

LG AI Research published a technical report detailing the model training method and performance evaluation findings of EXAONE 3.0.

LG AI Research has been focusing on research and development to apply generative AI to real-world industrial applications from its inception, including the release of EXAONE 1.0 in December 2021 and EXAONE 2.0 in July 2023.

The latest iteration, EXAONE 3.0, combines enhanced performance with cost-efficiency.

Compared to its predecessor, EXAONE 2.0, EXAONE 3.0 shows excellent results in both performance and economy, with 56% less processing time for inference, 35% less memory usage, and 72% lower operating costs.

To solve the problem of power consumption triggered by AI, LG AI Research focused on researching lightweight and optimization technologies and succeeded in reducing the size of the model by 97% while increasing performance compared to EXAONE 1.0.

In the technical report of EXAONE 3.0, LG AI Research disclosed both the individual scores of the 25 benchmarks used in the evaluation, including MT-Bench, AlpacaEval-2.0, Arena-Hard, and WildBench, which comprehensively evaluate the real-world use cases performance of AI models, as well as the average score for each area, to enhance the reliability of the results.

EXAONE 3.0 ranked global top in 13 benchmark scores, including real-world use cases, coding, and math, demonstrating its global competitiveness when compared to other global open-source AI models of similar size, such as Meta's Llama 3.1 and Google's Gemma 2.

EXAONE 3.0, a bilingual model that can learn and understand both Korean and English, also recorded the world's best performance in Korean.

To improve the performance of EXAONE 3.0, LG's AI Research used more than 60 million data from patents, software code, math, chemistry, and other specialized fields for training. As part of its strategic expansion, the company aims to incorporate additional fields such as law, biology, medicine, education, and various languages by the year-end, to surpass 100 million data points to bolster the system's performance.