Videos de AI for beginners
Videos etiquetados con "AI for beginners"
AI for beginners 8 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.
AI Image Generation MASTERCLASS - Create Stunning Art from Text (6 Steps)
Learn to create professional AI art from text prompts! This masterclass covers everything from beginner basics to advanced techniques. In this tutorial: - Top 3 AI image generators: Midjourney, DALL-E 3, Stable Diffusion - Step 1: Writing effective prompts with the exact formula - Step 2: Style keywords for photorealistic, illustration, painting, 3D - Step 3: Composition and framing with photography terms - Step 4: Advanced prompt engineering (negative prompts, weights, aspect ratios) - Step 5: Iteration and refinement (variations, upscale, inpainting) - Step 6: Practical applications (thumbnails, social media, websites, products) - My #1 tip for beginners Whether you're a marketer, creator, or hobbyist, AI image generation can transform your visual content! Subscribe to Patapo AI for more AI tutorials! 0:00 - Introduction 0:31 - The 3 Best AI Image Tools 1:21 - Step 1: Writing Effective Prompts 2:17 - Step 2: Style Keywords 3:00 - Step 3: Composition & Framing 3:40 - Step 4: Advanced Prompt Engineering 4:24 - Step 5: Iteration & Refinement 5:04 - Step 6: Practical Applications 5:50 - My #1 Tip for Beginners #AIImageGeneration #AITutorial #Midjourney #DALLE3 #PatapoAI #StableDiffusion #AIArt #PromptEngineering #AIImageGen #AIImage #TextToImage #AIArtTutorial #AIForBeginners #PromptTips #AI2026 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ AFFILIATE LINKS (Support the channel!) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ImagineArt - AI Image Generation (50% commission!) https://www.imagine.art/affiliate Canva Pro - AI-Powered Design https://www.canva.com/help/canva-affiliate-marketing-program 10Web - AI Website Builder (30% recurring) https://10web.io Copy.ai - Try Free, Upgrade for More https://affiliates.copy.ai/apply Make - Free Plan Available https://www.make.com/en/affiliate HubSpot - Grow with AI https://www.hubspot.com/partners/affiliates Grammarly Premium - AI Writing https://www.grammarly.com/affiliates Some links above are affiliate links. If you make a purchase, I may earn a commission at no extra cost to you. This helps support the channel and allows me to continue making free content like this. Thank you!
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
11. Variational Autoencoders (VAEs) Explained Clearly | From Basics to Latent Space & KL Divergence
Variational Autoencoders (VAEs) are one of the most important concepts in modern deep learning and generative AI. In this video, you will learn how VAEs work from first principles—without confusion, fluff, or unnecessary complexity. We begin by revisiting traditional autoencoders and identifying their limitations in generative tasks. Then, we build a strong conceptual understanding of VAEs, including probabilistic encoding, latent space representation, and the powerful idea of learning data distributions instead of fixed mappings. This video explains key concepts such as: The difference between autoencoders and variational autoencoders Why VAEs model latent variables as probability distributions The role of mean (μ) and standard deviation (σ) The reparameterization trick and why it is essential Understanding KL Divergence in a simple and intuitive way How VAEs enable data generation, interpolation, and representation learning Real-world applications in AI, including image generation, anomaly detection, and healthcare By the end of this video, you will have a clear, intuitive, and practical understanding of VAEs, making it easier to implement and apply them in research or real-world AI systems. This content is especially useful for: Students and researchers in Machine Learning and AI Data Scientists and Deep Learning practitioners Anyone preparing for interviews or academic projects in generative models 🚀 What You’ll Learn ✔ Variational Autoencoders (VAEs) from scratch ✔ Latent space and probabilistic modeling ✔ Mathematical intuition behind KL divergence ✔ Differences between VAEs and GANs ✔ Applications of VAEs in modern AI 📌 Why This Topic Matters VAEs are foundational to many advanced generative models and are widely used in fields like computer vision, NLP, healthcare AI, and scientific simulations. Understanding VAEs gives you a strong edge in mastering generative AI systems. ⚠️ Disclaimer This video is created purely for educational and knowledge-building purposes. The content is AI-generated, and while efforts have been made to ensure accuracy, some information may be incomplete or incorrect. Viewers are encouraged to verify facts and concepts from reliable sources before applying them in academic or professional work. #VariationalAutoencoder #VAE #DeepLearning #GenerativeAI #MachineLearning #LatentSpace #ArtificialIntelligence #NeuralNetworks #AIExplained #DataScience #KLdivergence #Autoencoder #AIeducation #LearnAI #TechEducation Variational Autoencoder, VAE explained, VAE tutorial, deep learning VAE, generative AI models, autoencoder vs VAE, KL divergence explained, latent space machine learning, probabilistic models AI, reparameterization trick, neural networks tutorial, AI for beginners, advanced machine learning, generative models explained, data science AI concepts, VAE applications, AI education content, machine learning lecture, NotebookLM AI video, deep learning concepts 2026
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
Generative AI Basics (2026) | How AI Creates Images, Videos & Code
📚Generative AI — AI That Creates | generative ai basics | generative ai tutorial | generative ai for beginners | generative ai course | generative ai examples | generative ai tools | generative ai applications | generative ai explained | generative ai models | generative ai use cases 👉 Welcome to Episode 5 of AI From Zero to Hero — Generative AI explained in simple terms. Learn how Generative AI creates images, videos, music, and code from text prompts. Understand how ChatGPT and large language models work using next-word prediction. Explore AI tools like DALL·E, Midjourney, Stable Diffusion, and Sora. Discover diffusion models and how AI generates realistic images from noise. Master prompt engineering to get better AI results and improve productivity. See how GitHub Copilot helps developers and IT admins write code faster. Learn real-world AI use cases in marketing, content creation, and automation. Understand risks like deepfakes, voice cloning, and AI ethics. Perfect beginner guide to Generative AI, AI tools, and future technology trends. 🏷️ Tags #ChanderManiPandey #GenerativeAI #GenerativeAIBasics #GenerativeAITutorial #GenerativeAIForBeginners #GenerativeAICourse #GenerativeAIExamples #GenerativeAITools #GenerativeAIApplications #GenerativeAIExplained #GenerativeAIModels
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