AI Terms Explained | Ep.1 of AI & Data Foundations! | AI Basics | скачать в хорошем качестве

AI Terms Explained | Ep.1 of AI & Data Foundations! | AI Basics |

🚀 Welcome back to The Data Key! Artificial intelligence is absolutely everywhere, but let’s be honest: the language around it can feel like a totally different world. If you've ever felt your eyes glaze over when hearing terms like LLM, Neural Network, or Generative AI, you are definitely not alone! ---------------------------------------------------------------------------------- ▶️ Welcome to Episode 1 of our brand new series: AI & Data Foundations! 🚀 In this series, we are going from absolute zero to a solid understanding of how data and AI actually work together. Over the next few videos, we'll be moving from these core concepts into practical applications—including standardizing data with Python and Pandas, bringing data to life with Looker Studio, and even exploring how to build real AI-assisted apps. Make sure to subscribe so you don't miss an episode! ---------------------------------------------------------------------------------- In this comprehensive explainer, we're cutting through the noise to demystify the core concepts driving the AI revolution. Whether you're aiming to land your next role in data analytics, looking to integrate AI into your own projects, or just curious about the future of tech, understanding this vocabulary is your crucial first step. ‐------------------------------------------------------------------------------- ▶️ Here’s exactly what we cover in this video: 🧠 Part 1: What is AI? - We lay down the fundamentals, unpacking the critical difference between the Weak (Narrow) AI we use today and the sci-fi concept of Strong (General) AI. ⚙️ Part 2: Inside the Engine Room - How do machines actually learn? We break down Machine Learning (ML), the supercharged power of Deep Learning, the structure of Neural Networks, and how we train them using Supervised vs. Unsupervised learning. 🗣️ Part 3: The Power of Language - We decode how AI understands human language. Learn the roles of NLP, NLU, and NLG, what Large Language Models (LLMs) really are, the magic behind the Transformer architecture, and why AI sometimes "hallucinates" fake information. 🚀 Part 4: Generative vs. Agentic AI - We explore the massive leap from Generative AI (tools that create for you) to Agentic AI (systems that autonomously act for you to achieve complex goals). 🌍 Part 5: AI in the Real World - See these concepts in action. We look at modern AI Assistants, how Retrieval-Augmented Generation (RAG) is solving the hallucination problem, and finally, we discuss the ultimate stakes of Existential Risk (X-Risk). ---------------------------------------------------------------------------------- If you found this breakdown helpful, please hit that LIKE button, SUBSCRIBE for more data and tech insights, and let me know in the comments which AI term blew your mind the most! ---------------------------------------------------------------------------------- 📚 Expanded Resources & Further Learning: 👉 Free Courses & Bootcamps: 🔹️ AI for Everyone (Coursera): https://www.coursera.org/learn/ai-for... 🔹️ Google Cloud - Introduction to Generative AI : https://www.skills.google/course_temp... 🔹️ Elements of AI: https://www.elementsofai.com 👉 Essential Reading & Documentation: 🔹️ IBM - Machine Learning vs. Deep Learning: www.ibm.com/cloud/learn/machine-learning-vs-deep-learning 🔹️ Google Developers Machine Learning Glossary: https://developers.google.com/machine... 🔹️ OpenAI Research Blog: https://openai.com/research 👉 Community & Open Source: 🔹️ Hugging Face - this is the best place to explore open-source LLMs, datasets, and community projects once you're ready to start building : https://huggingface.co ---------------------------------------------------------------------------------- ⏱️ Chapter Timeline: 0:00 - Introduction: Demystifying AI 0:17 - Feeling Lost in AI Jargon? 0:35 - The Game Plan 0:57 - 1. What is AI? (Weak AI vs. Strong AI) 2:00 - 2. How AI Learns (Machine Learning & Deep Learning) 3:51 - 3. The Power of Language (NLP, NLU, & NLG) 4:06 - What is a Large Language Model (LLM)? 5:05 - The Transformer Architecture 5:38 - What is AI Hallucination? 6:01 - 4. Generative AI vs. Agentic AI 7:14 - 5. AI in the Real World (AI Assistants) 7:43 - What is RAG (Retrieval-Augmented Generation)? 8:10 - The Ultimate Stakes: What is X-Risk? 9:03 - Subscribe to The Data Key! ---------------------------------------------------------------------------------- #artificialintelligence #generativeai #datascience #machinelearning #llm #ml #python #basics #google #freecourse #thedatakey #datascience #technology #tech #deeplearning #aifuture #learnai #nlp #genai #datasciencecourse #datasciencebasics #machinelearningfullcourse #rag #agenticai #trending #subscribe #data #analytics #hallucination #aigenerated #googlecloud