AI Briefing#exaone
The latest AI and developer news about #exaone, with the original source and a short summary.
The latest AI and developer news about #exaone, with the original source and a short summary.
LG AI Research and LG U+ evolved ixi-O into on-device agentic AI by leveraging the EXAONE model.
LG AI Research and LG Uplus leveraged EXAONE to build an on-device agentic AI service that maximizes both security and efficiency.
LG AI Research has revealed the technical principles of EXAONE, a multimodal model that understands text and images bidirectionally.
LG AI Research has unveiled the architecture of the EXAONE multimodal model, which understands text and images bidirectionally.
LG AI Research's EXAONE model ranked first on KorQuAD 2.0, a benchmark for evaluating Korean machine reading comprehension performance.
LG AI Research has proposed the EXAONE LMM architecture, which resolves data licensing issues in existing LMMs while improving efficiency.
LG AI Research introduces a case where it combined EXAONE's Image Understanding and Generation technologies to realize the Hwadamsup media art.
This introduces the latest research trends presented at ICLR 2024 regarding the generalization ability, efficiency, and safety of Foundation Models.
Through an ACL 2024 workshop, LG AI Research introduced the importance of developing LLMs that reflect cultural values and biases, along with related research.
This article looks at the latest research trends on how LLMs can reflect and measure diverse cultural values and social biases.
LG AI Research unveiled 'NEXUS,' an Agent AI system that tracks the lifecycle of complex datasets and analyzes legal risks.
LG AI Research has unveiled 'NEXUS,' an Agent AI system that automatically analyzes and tracks the legal risks of datasets.
LG AI Research developed BiGGen Bench, a new benchmark for precisely diagnosing the capabilities of language models, and won the NAACL 2025 Best Paper Award for it.
LG AI Research developed BiGGen Bench, a new benchmark that reflects precise human evaluation criteria in LLMs, winning the NAACL 2025 Best Paper Award.
Covers the evolution of LLMs, foundation models, and technical advances through efficient MoE architecture.
Furiosa SDK 2026.1 strengthens batching, caching, and Kubernetes support.
FuriosaAI has unveiled the 'NXT RNGD Server,' a turnkey solution for AI inference optimized for existing data center infrastructure.
LG AI Research adopted FuriosaAI's RNGD accelerator, boosting LLM inference efficiency for its EXAONE models by 2.25x compared to GPUs.