AI Briefing#generative-ai
The latest AI and developer news about #generative-ai, with the original source and a short summary.
The latest AI and developer news about #generative-ai, with the original source and a short summary.
LLM-based synthetic consumers are emerging as an alternative to market research by reproducing real customers' preferences and decision-making patterns with high accuracy.
Google is preparing to expand Gemini Live, Gemini's real-time voice mode, and Skills, its user-customization feature, to the web and desktop environment.
The Wan Team has released WanSong, a diffusion-based music generation model.
Chinese authorities have completed service approval for Apple Intelligence, signaling upcoming cooperation with local companies.
LG AI Research presented its latest research achievements, including Unlearning and Causal Inference for generative models, at ICML 2023.
LG AI Research unveiled an efficient unlearning technique to protect data privacy in generative models at ICML 2023.
We look at the types of training data and the multifaceted evaluation metrics that determine the performance of LLMs, the core of generative AI.
This provides a detailed analysis of data training, evaluation, and model architecture for Large Language Models (LLMs), the core of generative AI.
LG AI Research achieved the #1 ranking on the Korean machine reading comprehension benchmark KorQuAD 2.0 using EXAONE LM 1.0.
LG AI Research proposed an OOD detection methodology that generates sophisticated synthetic outliers using a Diffusion model.
LG AI Research unveiled research that improves OOD detection performance by generating sophisticated synthetic outliers using a Diffusion model.
This piece looks at research trends in the architecture and downstream tasks of score-based generative models presented at NeurIPS 2023.
It introduces the 'Generative Image Dynamics' research, selected as Best Paper at CVPR 2024, a technology that generates natural motion from still images.
LG AI Research has introduced an AI Red Team that checks vulnerabilities from an offensive perspective to enhance the security and reliability of generative AI.
It introduces the concept of AI Red Team and its step-by-step attack strategies for detecting and defending against vulnerabilities in generative AI.
This article analyzes Microsoft's and Google's AI toolkits to design trustworthy AI experiences and presents practical application methods.
It analyzes deceptive patterns that can occur during the UI/UX design process of AI services and proposes ethical design approaches.
As AI adoption increases, the human role is shifting from problem-solver to verifier, making it essential to maintain an appropriate level of trust.
As dependence on AI grows, it presents design strategies for maintaining human critical thinking and building 'appropriate reliance.'
LG AI Research runs an AI Ethics Seminar that explores effective collaboration between AI and humans and ethical guidelines based on the structure of human thought.
In an era where AI replaces technical proficiency, humans must strengthen their 'episteme' capabilities responsible for problem-setting and value judgment.
LG AI Research runs an AI Ethics Seminar to build trustworthy AI that goes beyond technological innovation to enrich human life.
LG AI Research is running an AI ethics seminar from the philosophical perspective that AI should be a tool that helps humans actively grow.
Vercel has released AI Gateway leaderboard data under a CC BY 4.0 license.