LG AI Research Unveils EXAONE 3.5: Advanced Language Models for Industrial and Academic Applications

LG AI Research Unveils EXAONE 3.5 Models for Industrial Use

The research notes that EXAONE 3.5 models are adept at handling real-world challenges and performing tasks that involve long contexts of up to 32,768 tokens LG AI Research launched EXAONE 3.5, a suite of instruction-tuned large language models tailored to meet a wide range of needs, from compact deployments to resource-intensive tasks. The models, offered in three parameter sizes -- 2.4 billion, 7.8 billion, and 32 billion, are available for research purposes. According to the study, these models are designed to speed up progress in both academic and industrial applications by providing versatile solutions for generative AI innovation. The research report notes that EXAONE 3.5 models are adept at handling real-world challenges and performing tasks that involve long contexts of up to 32,768 tokens. The researchers further say that the model is proficient in coding and mathematical problem-solving. It supports bilingual functionalities in English and Korean. Benchmark tests highlight their competitive performance. The model's features are designed to be efficient, effective, and user-friendly. The AI models are trained on large datasets using advanced methods, enabling them to follow instructions accurately and understand long inputs or contexts. They are optimised to meet user needs effectively while keeping training costs lower than other similar models. Limitations include occasional inaccuracies or biases stemming from training data and the lack of real-time updates, which can result in outdated information. The EXAONE 3.5 models are equipped to tackle a variety of tasks. For long-context applications, they excel in retrieving information, summarising documents, and answering multi-hop questions. In general domains, they solve advanced math problems and address knowledge-based queries. The 2.4B variant is optimised for on-device AI, while all models are effective in retrieval-augmented generation tasks, making them invaluable for research and practical deployment.

LG AI Unveils EXAONE 3.5 Models for Industrial Use

The research notes that EXAONE 3.5 models are adept at handling real-world challenges and performing tasks that involve long contexts of up to 32,768 tokens LG AI launched EXAONE 3.5, a suite of instruction-tuned large language models tailored to meet a wide range of needs, from compact deployments to resource-intensive tasks. The models, offered in three parameter sizes -- 2.4 billion, 7.8 billion, and 32 billion, are available for research purposes. According to the study, these models are designed to speed up progress in both academic and industrial applications by providing versatile solutions for generative AI innovation. The research report notes that EXAONE 3.5 models are adept at handling real-world challenges and performing tasks that involve long contexts of up to 32,768 tokens. The researchers further say that the model is proficient in coding and mathematical problem-solving. It supports bilingual functionalities in English and Korean. Benchmark tests highlight their competitive performance. The model's features are designed to be efficient, effective, and user-friendly. The AI models are trained on large datasets using advanced methods, enabling them to follow instructions accurately and understand long inputs or contexts. They are optimised to meet user needs effectively while keeping training costs lower than other similar models. Limitations include occasional inaccuracies or biases stemming from training data and the lack of real-time updates, which can result in outdated information. The EXAONE 3.5 models are equipped to tackle a variety of tasks. For long-context applications, they excel in retrieving information, summarising documents, and answering multi-hop questions. In general domains, they solve advanced math problems and address knowledge-based queries. The 2.4B variant is optimised for on-device AI, while all models are effective in retrieval-augmented generation tasks, making them invaluable for research and practical deployment.

LG released new version of generative AI, EXAONE 3.5 By Investing.com

- Following EXAONE 3.0 in August, EXAONE 3.5 version was released as open source on the 9th of this month, fostering an open AI research ecosystem and is expected to accelerate the pace of innovation Unlike previous EXAONE 3.0, LG AI Research will open source all three models, an ultra-lightweight model for on-device use (2.4 billion parameters), a lightweight model for general purpose (7.8 billion parameters), and a high-performance model for specialized application (32 billion parameters). To reduce the hallucination and to increase the accuracy and reliability of answers, LG AI Research has advanced Retrieval-Augmented Generation (RAG) technology, which generates answers based on real-time web search results or uploaded documents, and Multi-step Reasoning, which allows AI to deconstruct user's inquiry step-by-step to develop logical reasoning. Depending on the length of sentence inputs, EXAONE 3.5 can process long texts, roughly equivalent to around 100 pages at a time. LG AI Research also published a technical report on the performance evaluation of the model, demonstrating confidence in the technology's ability to compete on a global scale. According to a technical report released by LG AI Research, EXAONE 3.5 is the world's best class in real-world usability, long text processing, coding, and math. LG AI Research disclosed both individual scores for the 20 benchmarks it used to evaluate performance and the average scores. All three models, from on-device to high-performance, can be used for research purposes, and anyone can check and validate the models. LG AI Research expects the open-source release to promote an open AI research ecosystem and increase the pace of innovation. 'As AI technology becomes a key strategic asset for each country, developing AI models with our own technology is meaningful in contributing to enhancing national AI competitiveness,' said an official from LG AI Research. LG AI Research has officially launched its enterprise AI agent, ChatEXAONE for its employees, starting the 'era of everyday AI'. From the 9th of this month, LG employees can sign up and start using ChatEXAONE in their work immediately. Based on the new EXAONE 3.5 model, ChatEXAONE applies information encryption and privacy protection technology so that employees can use it in their work without worrying about leaking internal data within the company's security environment. LG AI Research expects ChatEXAONE to help employees increase their work productivity and efficiency, from real-time web information search to document summarization, translation, report writing, data analysis, and coding. With the application of EXAONE 3.5 to ChatEXAONE, LG AI Research has enhanced its performance and added 'Deep' and 'Dive' functions. 'Deep' is a feature that enables ChatEXAONE to analyze and infer multiple questions in stages and provide a comprehensive answer when a complex question is asked, and can be used when you want accurate and in-depth report-level results. 'Dive' is a feature that allows you to select a search scope such as general, global, academic, and YouTube to get answers based on the exact source according to your purpose. ChatEXAONE recommends 133 job-specific prompts based 14 different job functions and provides personalized answers, and employees can set their interests according to their use. LG AI Research plans to continue to expand the number of jobs and job categories based on employee feedback. ChatEXAONE currently supports 32,000 tokens that can process 20,000 words in Korean (23,000 English words) simultaneously, enabling long-form questions and answers, and plans to expand to 128,000 tokens in the first half of next year. 'The recent advancement of generative AI models has accelerated, and it is important to upgrade them quickly,' said Bae Kyunghoon, the president of LG AI Research. 'We will speed up the pace of innovation and develop them into frontier models that represent , with the goal of artificial super intelligence that can be applied to real-world industries.' LG AI Research has strengthened its collaborations with AWS, Dell Technologies (NYSE:DELL), Elsevier, Google (NASDAQ:GOOGL) Cloud, Intel (NASDAQ:INTC), Jackson Laboratory, NVIDIA (NASDAQ:NVDA), Parsons (NYSE:PSN) School of Design, UiPath (NYSE:PATH), University of Michigan, University of Pittsburgh Medical (TASE:PMCN) Centre(UPMC), University of Toronto and others to expand the ecosystem to create real-world outcomes with EXAONE and other AI technologies. Meanwhile, LG has been accelerating its AI transformation for the past four years, centered on the LG AI Research Institute, which -mo, Chairman and CEO of LG Group has been working on as a future business, and all affiliates are actively working to preempt future technologies and recruit talent. For more information, visit https://www.lgresearch.ai/blog/view?seq=507 About LG Group LG Group is a leading global company representing , offering innovative products and services across various industries such as electronics, chemicals, telecommunications, and energy. Established in 1947, LG Group has grown into a world-renowned brand through its activities in these diverse fields. The company is committed to continuous research and development, focusing on innovation to enhance the quality of life for its customers. Emphasizing its role as a socially responsible enterprise, LG Group is striving to strengthen its competitiveness in the global market and achieve sustainable growth through its future portfolio in areas like AI, Bio, and Cleantech. The company is dedicated to realizing its vision of being a business that provides value to customers and society, pursuing this mission with unwavering determination. About LG AI Research Launched in as the artificial intelligence (AI) research hub of LG Group, LG AI Research aims to lead the next epoch of artificial intelligence (AI) to realize a promising future by providing optimal research environments and leveraging state-of-the-art AI technologies. And LG AI Research developed its large-scale AI, EXAONE, a 300 billion parametric multimodal AI model, in 2021. EXAONE, which stands for "Expert AI for Everyone," is a multi-modal large-scale AI model that stands out from its peers due to its ability to process both language and visual data. With one of the world's largest learning data capacities, LG AI Research aims to engineer better business decisions through its state-of-the-art artificial intelligence technologies and its continuous effort on fundamental AI research. For more information, visit https://www.lgresearch.ai/.