Videos de AI explained
Videos etiquetados con "AI explained"
AI explained 9 videos
What Is a Large Language Model? (LLMs Explained From Zero)
Try it yourself — the full written explainer and an interactive next-word predictor are here: https://unrote.com/ai/what-is-an-llm/ A large language model sounds mysterious, but underneath it's one simple idea: a giant math function that, given some text, predicts the most likely next chunk of text — then feeds its own guess back in and does it again. That loop, repeated, is the whole engine. This is a build-from-zero explainer. No jargon assumed. We start with the autocomplete on your phone, watch a model generate a sentence one word at a time with real probabilities, and end up understanding why it can sound brilliant and still be confidently wrong. What we cover: - Why an LLM is really just autocomplete, scaled up enormously - Predict, append, repeat — how it writes one token at a time - Why it works in tokens (chunks), not whole words - Where the skill comes from: training on a huge pile of text - Why "Large" matters — billions of parameters - Why it doesn't actually "know" anything, and why that causes hallucinations - Why doing one simple thing well, at scale, ends up looking like intelligence Chapters: 0:00 What a large language model is 0:26 The whole thing in one sentence 0:44 Read the name backwards: L, L, M 1:03 It's autocomplete you already use 1:42 Watch it predict, word by word 2:36 It works in tokens, not words 2:59 Where the skill comes from: training 3:45 Why "Large" matters 4:10 It doesn't know — it predicts 4:33 So why does it feel intelligent? 4:58 Where this goes next 5:21 Recap This is the first video in an AI series on Unrote — modern AI explained from zero, one idea per page. Up next: What Are Tokens? Unrote. Understand it, don't memorize it.
AI vs Machine Learning vs Deep Learning: What’s the Difference?
AI vs Machine Learning vs Deep Learning: What’s the Difference? Artificial Intelligence, Machine Learning, and Deep Learning are among the most talked-about technologies today, but many people use these terms interchangeably. The reality is that Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) are related but fundamentally different concepts. In this video, you’ll learn the difference between AI vs Machine Learning vs Deep Learning, how they work, where they overlap, and why understanding these technologies is essential for professionals, students, business leaders, and anyone interested in the future of technology. We’ll break down complex concepts into simple language and explore real-world examples such as ChatGPT, self-driving cars, recommendation systems, fraud detection, predictive analytics, computer vision, and generative AI. In This Video ✅ What is Artificial Intelligence (AI)? ✅ What is Machine Learning (ML)? ✅ What is Deep Learning (DL)? ✅ AI vs Machine Learning vs Deep Learning Explained ✅ Key Differences Between AI, ML, and DL ✅ Real-World Applications of AI, ML, and DL ✅ How ChatGPT Uses AI and Deep Learning ✅ Machine Learning Examples in Business ✅ Deep Learning Examples in Everyday Life ✅ The Future of Artificial Intelligence AI vs ML vs DL Explained Artificial Intelligence is the broader concept of machines performing tasks that normally require human intelligence. Machine Learning is a subset of Artificial Intelligence that enables systems to learn from data without being explicitly programmed. Deep Learning is a specialized subset of Machine Learning that uses neural networks to solve complex problems such as image recognition, speech recognition, natural language processing, and generative AI. Understanding the relationship between Artificial Intelligence, Machine Learning, and Deep Learning is critical for anyone looking to build future-ready skills in the AI era. Real-World Examples Covered * ChatGPT and Generative AI * Recommendation Engines * Self-Driving Cars * Voice Assistants * Fraud Detection Systems * Predictive Analytics * Image Recognition * Facial Recognition * Supply Chain Forecasting * Business Intelligence Systems Who Should Watch? * Working Professionals * Business Leaders * Managers * Students * MBA Aspirants * Data Analysts * Supply Chain Professionals * Operations Managers * Technology Enthusiasts * Anyone Interested in Artificial Intelligence Related Topics * Artificial Intelligence Explained * Machine Learning Explained * Deep Learning Explained * Generative AI * Large Language Models (LLMs) * ChatGPT Explained * Neural Networks * Data Science * AI in Business * AI for Professionals * AI in Supply Chain * Future of Work * AI Career Skills Hashtags #ArtificialIntelligence #MachineLearning #DeepLearning #AI #ML #DL #GenerativeAI #ChatGPT #AIExplained #MachineLearningExplained #DeepLearningExplained #Upstratica High-SEO Keywords AI vs Machine Learning vs Deep Learning, artificial intelligence vs machine learning, machine learning vs deep learning, AI vs ML vs DL, what is artificial intelligence, what is machine learning, what is deep learning, AI explained, machine learning explained, deep learning explained, artificial intelligence explained, neural networks, generative AI, ChatGPT explained, AI for professionals, machine learning for beginners, deep learning tutorial, AI applications, AI use cases, AI in business, AI in supply chain, future of AI, artificial intelligence tutorial ⸻ 🚀 Subscribe to Upstratica for practical insights on Artificial Intelligence, Supply Chain Management, Operations Excellence, Business Transformation, and the Future of Work. Suggested Chapters 00:00 Introduction 01:12 What is Artificial Intelligence (AI)? 03:40 What is Machine Learning (ML)? 06:25 What is Deep Learning (DL)? 09:15 AI vs Machine Learning vs Deep Learning 12:40 Real-World Examples 15:20 How ChatGPT Uses AI & Deep Learning 17:45 Future of AI 19:00 Key Takeaways Additional Search Queries artificial intelligence vs machine learning vs deep learning, difference between AI and machine learning, difference between machine learning and deep learning, AI vs ML explained, deep learning for beginners, machine learning for beginners, artificial intelligence for beginners, how ChatGPT works, neural networks explained, AI technology explained, AI concepts for professionals, generative AI explained, AI fundamentals, machine learning applications, deep learning applications This description is optimized around the exact-match keyword “AI vs Machine Learning vs Deep Learning” while also targeting related searches such as AI explained, Machine Learning explained, Deep Learning explained, ChatGPT explained, and Generative AI, which generally helps push VidIQ optimization into the higher range.
Understanding Large Language Models (LLM) | Transformer Architecture, AI Concepts & Future Explained
Discover the complete world of Large Language Models (LLMs) in this detailed educational video designed for students, researchers, AI enthusiasts, educators, developers, and technology learners. In this in-depth session, we explore the latest concepts behind modern Artificial Intelligence systems including Transformer Architecture, Self-Attention Mechanisms, Tokenization, Embeddings, Neural Networks, Context Windows, Retrieval-Augmented Generation (RAG), AI Agents, Multimodal AI, and the future of Generative AI technologies. This educational video explains how modern AI systems process and understand human language using billions of parameters and large-scale datasets. Whether you are beginning your AI journey or already exploring Machine Learning and Natural Language Processing, this video provides a structured and easy-to-understand explanation of the most important concepts behind modern LLMs. The video also covers the evolution from traditional NLP systems to advanced Transformer-based architectures that power today’s AI assistants, intelligent chatbots, research systems, coding assistants, and enterprise AI applications. 📘 Topics Covered in This Video What are Large Language Models (LLMs)? Evolution of NLP and AI Language Systems Transformer Architecture Explained Self-Attention Mechanism Tokens and Tokenization Word Embeddings and Vector Representations Parameters and Neural Networks Training and Fine-Tuning of LLMs Context Windows and Long-Context AI Encoder vs Decoder Models Retrieval-Augmented Generation (RAG) Hallucinations and Limitations of AI AI Safety and Alignment Multimodal AI Systems AI Agents and Autonomous Workflows Latest Trends in Generative AI Real-World Applications of LLMs 🎯 Who Should Watch This Video? This video is highly useful for: Artificial Intelligence Students Machine Learning Enthusiasts NLP Researchers Engineering Students Data Science Learners AI Developers Educators and Teachers Research Scholars Technology Professionals Anyone curious about modern AI systems 🚀 Why This Video Matters Large Language Models are rapidly transforming industries including: Education Healthcare Cybersecurity Software Engineering Scientific Research Business Automation Digital Content Creation Understanding how LLMs work is becoming an essential skill in the modern AI-driven world. This video aims to simplify advanced AI concepts into a structured educational format suitable for learning, teaching, research, and knowledge-building purposes. 📌 Educational Disclaimer This video is created strictly for educational, learning, research, awareness, and knowledge-building purposes only. Some portions of this content are AI-generated and may contain inaccuracies, omissions, outdated information, or unintended errors. Viewers are strongly encouraged to independently verify facts, technical details, research findings, and practical implementations from official and trusted sources before applying them in academic, professional, technical, legal, medical, or commercial environments. This content does not promote misuse of AI technologies and is intended solely for responsible educational understanding. 🔔 Support the Channel If you found this educational AI content useful: Like the video Share with learners and researchers Subscribe for more AI, Machine Learning, NLP, and Technology educational content Enable notifications for future updates #LLM #ArtificialIntelligence #GenerativeAI #MachineLearning #NLP #Transformers #LargeLanguageModels #AI #DeepLearning #NeuralNetworks #AIExplained #DataScience #AI2026 #Technology #EducationalVideo #AIResearch #NotebookLM #FutureOfAI #SelfAttention #RAG Large Language Models, LLM tutorial, What are LLMs, Transformer Architecture, Generative AI, Artificial Intelligence, NLP tutorial, Self Attention Mechanism, AI explained, Machine Learning tutorial, Deep Learning, Neural Networks, AI Agents, Multimodal AI, Retrieval Augmented Generation, RAG systems, Tokenization, Embeddings, Context Window, AI education, NotebookLM content, AI concepts explained, latest AI trends 2026, educational AI video, language models tutorial, ChatGPT concepts, Transformer neural network, AI learning, AI research, Future of AI, AI for students, AI technology explained, Generative AI tutorial, modern AI systems, Large Language Model architecture, NLP concepts, AI knowledge video, educational technology content
LLMs Explained in 20 Minutes | The Transformer Behind ChatGPT, Gemini & Claude
🚀 LLMs Explained in 10 Minutes | The Transformer Behind ChatGPT, Gemini & Claude Ever wondered how ChatGPT, Gemini, Claude, and other AI assistants actually work? In this video, we'll break down Large Language Models (LLMs) in the simplest way possible. You'll learn how AI evolved from traditional neural networks to the revolutionary Transformer Architecture, the breakthrough that powers modern AI. We'll also explore the Attention Mechanism, the core idea that allows LLMs to understand context, focus on important words, and generate human-like responses. What You'll Learn ✅ What is an LLM (Large Language Model)? ✅ Why RNNs struggled with long context ✅ How Transformer Architecture works ✅ What is the Attention Mechanism? ✅ Why Transformers changed AI forever ✅ How ChatGPT, Gemini, and Claude generate responses ✅ The foundation behind modern Generative AI Whether you're a student, developer, cloud engineer, AI enthusiast, or preparing for AI interviews, this video will help you understand the fundamentals of LLMs without complicated math. 🔥 If you enjoy AI, Generative AI, Agentic AI, Google Cloud, Gemini, MCP, and modern AI architectures, make sure to subscribe for more content. #LLM #ChatGPT #Gemini #Claude #Transformer #GenerativeAI #ArtificialIntelligence #MachineLearning #AIExplained #TechTrapture Playlists Google Agent Development Kit (ADK) https://www.youtube.com/playlist?list=PLLrA_pU9-Gz2HwepRUVpq1TEPuYWo_fSi Learn Airflow https://www.youtube.com/playlist?list=PLLrA_pU9-Gz3i8qw6yakrfJzx75W_vVaH Learn Google Cloud in 2025 https://youtube.com/playlist?list=PLLrA_pU9-Gz2OnBoICkewd9-Fc9Mi0nm7&si=8kkB3ct5wDHCMkoi Data Engineering Hands-on Projects https://www.youtube.com/playlist?list=PLLrA_pU9-Gz2DaQDcY5g9aYczmipBQ_Ek Looking to get in touch? Drop me a line at vishal.bulbule@techtrapture.com Linkedin https://www.linkedin.com/in/vishal-bulbule/ Medium Blog https://medium.com/@VishalBulbule Github Source Code https://github.com/vishal-bulbule
Day - 03 : GEN AI + LLM + RAG + Agentic AI Overview by Mr. Ashok
Artificial Intelligence is changing the way software applications are built. In this session, Mr. Ashok explains the most important AI concepts every student and developer should know. In this video, you will learn: ✅ What is Generative AI? ✅ What are Large Language Models? ✅ How RAG works in real-time applications ✅ What is Agentic AI? ✅ Difference between LLM, RAG, and AI Agents ✅ Real-world use cases of Gen AI ✅ Career opportunities in AI This session is useful for students, freshers, working professionals, Java developers, Python developers, and anyone who wants to start learning AI from basics. 📌 Watch the full session and start your AI learning journey today. #GenAI #LLM #RAG #AgenticAI #ArtificialIntelligence #AIOverview #GenerativeAI #PromptEngineering #AIForBeginners #AshokIT #MrAshok #PythonAI #AICareer #MachineLearning #TechLearning
AI Is Quietly Coming for Your Job by 2029
By 2029, AI won’t replace every job overnight — but it will fundamentally change how work is done. Artificial intelligence is already automating tasks, assisting decisions, optimizing workflows, and reducing the need for human involvement across industries. From logistics and customer service to analysis, scheduling, and digital operations, AI systems are quietly taking over responsibilities once handled entirely by people. And this shift is accelerating faster than most workers realize. In this Futurescape Films documentary, we explore how AI is changing the future of work, which jobs are most vulnerable to automation, and what happens when AI systems begin managing more of the modern workforce. ⏱️ TIMESTAMPS 0:00 The Future of Work Has Already Started 0:55 What AI Is Already Replacing 1:50 How AI Automation Changes Jobs 2:50 AI Systems and Workplace Decisions 3:50 Why This Is Accelerating 4:50 Jobs Most Affected by AI by 2029 5:50 What This Means for Workers 6:40 What Happens Next 📌 TOPICS AI jobs, AI replacing jobs, future of work, artificial intelligence, AI automation, AI systems, AI decision making, job automation, future technology, emerging technology The biggest shift in work may not be job loss. It may be the transfer of decision-making from humans to AI systems. Subscribe to Futurescape Films for deep-dive documentaries on AI, systems, and the future of work.
Stanford que Ensina Mais sobre LLMs do que a Maioria dos Profissionais de IA
#llm #stanford #chatgpt #inteligenciaartificial #ia Em vez de assistir a uma hora de Netflix, assista a esta palestra de 2 horas da Stanford que vai te ensinar mais sobre como LLMs como ChatGPT e Claude são construídos do que a maioria das pessoas trabalhando em empresas de IA de ponta aprende em suas carreiras inteiras.Essa é uma das aulas mais valiosas que você vai encontrar sobre o funcionamento real dos grandes modelos de linguagem. Direto, profundo e sem enrolação.Se você quer entender de verdade como essas tecnologias são feitas por dentro, essa palestra é ouro puro. Pare o que está fazendo e invista essas 2 horas. Vale muito mais do que parece.Comente: você prefere usar IA ou entender como ela realmente funciona?
Midjourney vs DALL-E 3 vs Stable Diffusion — Best AI Image Tool 2025
In this video, we cover everything you need to know about Midjourney vs DALL-E 3 vs Stable Diffusion — Best AI Image Tool 2025 — from the basics all the way to advanced tips you can start using today. Whether you're a complete beginner or looking to level up your skills, this tutorial breaks it all down clearly and simply. ━━━━━━━━━━━━━━━━━━━━━━━━━ 📌 WHAT YOU WILL LEARN ━━━━━━━━━━━━━━━━━━━━━━━━━ ✅ What Midjourney vs DALL-E 3 vs Stable Diffusion — Best AI Image Tool 2025 is and why it matters right now ✅ How it works — explained simply ✅ Real-world applications you can use today ✅ Common mistakes beginners make (and how to avoid them) ✅ Where AI and technology are heading next ━━━━━━━━━━━━━━━━━━━━━━━━━ ⏱️ TIMESTAMPS ━━━━━━━━━━━━━━━━━━━━━━━━━ 0:00 — Introduction 0:12 — What is Midjourney vs DALL-E 3 vs Stable Diffusion — Best AI Image Tool 2025? 1:10 — How It Actually Works 2:45 — Real-World Applications 4:20 — Challenges & What to Watch Out For 6:00 — The Future — Where This is Heading 7:30 — Key Takeaways & Summary 7:50 — Subscribe for Daily AI Videos ━━━━━━━━━━━━━━━━━━━━━━━━━ 🔔 SUBSCRIBE FOR MORE ━━━━━━━━━━━━━━━━━━━━━━━━━ We publish a new AI tutorial or deep-dive every single day. Hit the bell icon so you never miss one. ━━━━━━━━━━━━━━━━━━━━━━━━━ 📚 RELATED VIDEOS YOU MIGHT LIKE ━━━━━━━━━━━━━━━━━━━━━━━━━ • ChatGPT Full Tutorial for Beginners • Claude AI — Everything You Need to Know • Top 10 Free AI Tools That Will Change Your Work • How to Make Money With AI in 2025 • Best AI Productivity Workflow — Full Guide ━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠️ DISCLAIMER ━━━━━━━━━━━━━━━━━━━━━━━━━ This channel is for educational and informational purposes only. All content is original and created with the goal of making AI accessible to everyone. ━━━━━━━━━━━━━━━━━━━━━━━━━ #AI #ArtificialIntelligence #TechTutorial #LearnAI #AITools #MachineLearning #ChatGPT #Midjourney #AITutorial #ArtificialIntelligence #TechEducation #LearnAI #AITools
How AI Creates Images Explained | Diffusion Models & Prompt to Image AI
How does AI actually create images from a simple text prompt? In this video, we break down the magic behind AI image generation in 4 simple stages — from training the AI's visual brain to turning random noise into stunning, detailed pictures. Whether you're using Midjourney, DALL·E, Stable Diffusion, or any other AI art generator, this guide will help you understand exactly what's happening behind the scenes when you type a prompt and watch an image appear. 🔑 What you'll learn: • Stage 1: How the AI Learns — Building a Visual Brain with training data • Stage 2: How AI Analyzes Your Prompt — Turning words into meaning • Stage 3: From Noise to Image — The Diffusion Process explained • Stage 4: Why AI Generates Multiple Versions of the same prompt We also explore the bigger question: If an AI can create art, what does it mean to be an artist? Perfect for beginners, creators, designers, and anyone curious about how generative AI, machine learning, neural networks, and diffusion models work together to create images. 👍 Like, subscribe, and turn on notifications for more easy explainers on AI, technology, and the future of creativity. #AI #ArtificialIntelligence #AIArt #ImageGeneration #DiffusionModels #MachineLearning #GenerativeAI #DeepLearning #PromptEngineering #AIExplained #Midjourney #StableDiffusion #DALLE #TechExplained #FutureOfAI