AI Briefing#llm
The latest AI and developer news about #llm, with the original source and a short summary.
The latest AI and developer news about #llm, with the original source and a short summary.
LG AI Research unveiled EXAONE 3.0 7.8B, an open-source model with excellent English and Korean performance.
LG AI Research has open-sourced EXAONE 3.0 7.8B, an expert-grade AI model with outstanding English and Korean performance.
LG AI Research unveiled ChatEXAONE, an enterprise AI agent based on the open-source LLM EXAONE 3.0.
LG AI Research has unveiled ChatEXAONE, an AI agent based on EXAONE 3.0 that supports enterprise work innovation.
It introduces the latest research trends for overcoming the limitations of LLMs presented at ACL 2024 and LG AI Research's achievements.
Through the ACL 2024 tutorial session, we explore the latest research trends, including how to evaluate LLM-generated text and its vulnerabilities.
We introduce ChartInstruct, a general-purpose chart vision-language model that applies Instruction Tuning to maximize chart understanding and reasoning capabilities.
This piece examines the latest techniques for optimizing inference efficiency and resource usage in LLMs, centered on research presented at ACL 2024.
This piece analyzes the latest efficiency research aimed at solving the computational cost and inference speed issues that come with the growing scale of LLMs.
We look at the limitations of AI-generated text detection technology presented at ACL 2024 and the latest research that addresses them.
This piece summarizes the trends and key methodologies of the latest AI-generated text detection technologies presented at ACL 2024.
This piece examines the LLM reliability evaluation methodologies and research trends in complex task performance and efficiency presented at ACL 2024.
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.
Explores the potential for autonomous collaboration among AI agents and the changes they could bring to social structures.
It analyzes the autonomous decision-making and cooperation patterns of AI Agents through simulations and presents the need for ethical mechanisms.
LG AI Research proposed AIR, a multimodal time series forecasting technology that reflects the characteristics of time series data and text data.
LG AI Research has unveiled 'EXAONE Deep,' an AI model with overwhelming reasoning performance in math, science, and coding.
Covers the evolution of LLMs, foundation models, and technical advances through efficient MoE architecture.
A look at efficient training methodologies and the latest technology trends for foundation models, which serve as the basis of LLMs.
LG AI Research has unveiled EXAONE 4.0, a next-generation hybrid AI model with enhanced reasoning capabilities.
LG AI Research has unveiled EXAONE 4.0, a next-generation hybrid AI model that integrates advanced reasoning capabilities.
LG AI Research unveiled EXAONE BI, a finance-specialized AI agent that performs corporate analysis and portfolio optimization.
LG AI Research developed EXAONE BI, a financial solution based on the corporate analysis agent GanphA.