목록전체 글 (554)
A Joyful AI Research Journey🌳😊
LinkedIn 백종화 페이지: [DBR]조직문화 파괴하는 ‘나르시시스트 리더’ 퇴출시켜라 | 댓글 10 ◆ 나르시스트 리더는 나쁜 문화를 만들고, 인격적으로 성숙한 리더는 좋은 문화를 만듭니다. ① 기업 혁신과 조직 행동 분야의 세계적 석학 중 한 명인 찰스 오라일리 스탠퍼드대 경영대학원 kr.linkedin.com 리더를 발탁할 때는 아래 10가지 요소들에 대해서 생각해 볼 수 있어야 합니다. 1) 말과 행동이 일치하는 리더 2) 자신보다 구성원을, 자신의 팀보다 회사를, 회사보다 고객을, 고객보다 사회를 위하는 의사결정을 하는 리더 3) 감사함과 미안함을 함께 표현하는 리더 4) 자신보다 구성원의 성공을 더 앞세우는 리더 5) 모르는 것을 모른다고 인정하고, 실수와 실패를 솔직하게 드러내는 리더 6..
ChatGPT, OpenAI In the field of artificial intelligence, a foundation model is defined as a type of large-scale machine learning model that is pre-trained on an extensive and diverse dataset, usually encompassing a wide variety of topics, contexts, or modalities. These models are characterized by their ability to learn general representations that can be adapted or fine-tuned for a wide range of..
ChatGPT, OpenAI For research in computer vision, a subfield of Artificial Intelligence (AI) focusing on enabling machines to interpret and understand visual data from the world, all three areas – computer science, mathematics, and statistics – play vital roles, but their importance can be contextualized as follows: Computer Science: This is highly critical in computer vision. It provides the fou..
The famous blog posts by Tim Urban discussing the AI revolution can be accessed through the following links: "The AI Revolution: The Road to Superintelligence" (January 22, 2015): This article, which is the first part of a two-part series, delves into the evolution and future potential of artificial intelligence, exploring the concept of superintelligence and its implications. You can read it on..
ChatGPT, OpenAI "Learning from Data" and "Learning to Learn," also known as Meta-Learning, are related but distinct concepts in the field of machine learning and AI: Learning from Data: This is the fundamental concept of machine learning, where an AI model is trained to make predictions or decisions based on data. The model learns patterns, relationships, and structures from a dataset and uses t..
When I took lectures about AI, there were statements suggesting that many jobs, including in fields like coding, law, journalism, advertising, marketing, stock trading, and graphic design, could soon be replaced by AI due to its ability to recognize and work with patterns. This is largely due to the advanced capabilities of AI models in identifying and interpreting patterns in data, a process in..
ChatGPT, OpenAI Modeling in AI is indeed similar to modeling in statistics and data analysis, but there are key differences in their objectives, complexity, and methods: Objective: Statistical and Data Analysis Modeling: These models are primarily focused on understanding relationships between variables, testing hypotheses, and making inferences. For example, a statistical model might be used to..
ChatGPT, OpenAI These topics are central to the field of artificial intelligence and are particularly relevant to the pursuit of Artificial General Intelligence (AGI): Transfer Learning: Definition: Transfer learning is a machine learning method where a model developed for a specific task is reused as the starting point for a model on a second task. It's a popular approach in deep learning becau..
https://www.youtube.com/watch?v=SEkGLj0bwAU Definition and Essence of AI: AI is described as digital brains inside large computers. Ilya Sutskever emphasizes that all significant AI developments are based on this concept. Personal Motivation in AI: Sutskever shares his journey into AI, driven by a fascination with consciousness, curiosity about how intelligence works, and the potential impact of..
