범주
기술
AI 아티클
인공지능의 최신 기법, 도구, 연구 동향을 놓치지 마세요. 본 AI 블로그에서는 데이터 과학, 활용 사례, 책임 있는 AI 실천을 다룹니다.
기타 기술:
2명 이상을 교육하시나요?DataCamp for Business 사용해 보세요
AI in Cybersecurity: A Researcher's Perspective
AI in cybersecurity uses AI algorithms to combat threats like ransomware and misinformation, providing advanced capabilities in protection, detection, and response.
Natasha Al-Khatib
2024년 9월 1일
Natural Language Understanding (NLU) Explained
Natural language understanding (NLU) is a subfield of natural language processing (NLP) focused on enabling machines to understand the meaning, context, and intent of human language.
Dimitri Didmanidze
2024년 9월 1일
AI Chips Explained: How AI Chips Work, Industry Trends, Applications
AI chips are specialized processors designed to accelerate the execution of artificial intelligence tasks, typically involving large-scale matrix operations and parallel processing.
Bhavishya Pandit
2024년 8월 29일
Vision Language Models (VLMs) Explained
Vision language models (VLMs) are AI models that can understand and process both visual and textual data, enabling tasks like image captioning, visual question answering, and text-to-image generation.
Bhavishya Pandit
2024년 8월 29일
SAM 2: Getting Started With Meta's Segment Anything Model 2
Meta AI's SAM 2 (Segment Anything Model 2) is the first unified model capable of segmenting any object in both images and videos in real-time.
Dr Ana Rojo-Echeburúa
2024년 8월 28일
LLM Distillation Explained: Applications, Implementation & More
Distillation is a technique in LLM training where a smaller, more efficient model (like GPT-4o mini) is trained to mimic the behavior and knowledge of a larger, more complex model (like GPT-4o).
Stanislav Karzhev
2024년 8월 28일
AI in Pharmaceuticals: Benefits, Challenges, and Insights
Explore how AI transforms the pharmaceutical industry by learning about its applications, benefits, challenges, and future prospects in our comprehensive analysis!
Maria Eugenia Inzaugarat
2024년 8월 27일
13 LLM Projects For All Levels: From Low-Code to AI Agents
Discover 13 LLM project ideas with easy-to-follow guides and code. Build RAG systems, AI apps, and autonomous agents using DeepSeek, LangGraph, and OpenAI.
Abid Ali Awan
2026년 1월 28일
What Are Vector Embeddings? An Intuitive Explanation
Vector embeddings are numerical representations of words or phrases that capture their meanings and relationships, helping machine learning models understand text more effectively.
Tom Farnschläder
2024년 8월 13일
Mixture of A Million Experts (MoME): Key Concepts Explained
MoME (Mixture of Million Experts) is a scalable language model using Mixture of Experts (MoE) with a routing mechanism called PEER to efficiently utilize millions of specialized networks.
Bhavishya Pandit
2024년 8월 13일
AI in Education: Benefits, Challenges, and Ethical Considerations
Generative AI is revolutionizing education. In this article, we analyze the benefits of using generative AI tools in the classroom and its potential challenges and ethical considerations.
Javier Canales Luna
2024년 8월 12일
Top 7 AI Video Generators for 2026 With Example Videos
Discover the top AI video generators available today, including RunwayML, Synthesia, Colossyan, Pictory, DeepBrain AI, Invideo, and the highly anticipated Sora and DeepMind’s Veo.
Dr Ana Rojo-Echeburúa
2024년 8월 11일