Videos de Educación
Videos educativos y de formación.
Educación 82 videos
Every Type of AI Explained — LLM, Image, Voice, Video, Code, Recommendation
You know ChatGPT. But ChatGPT is just one of six totally different types of AI — and you're using all six right now without knowing it. Here are all six, in order. Chapters: 0:00 — Hook 0:15 — Language Models (ChatGPT, Claude, Gemini) 0:33 — Image Generators (Midjourney, DALL·E, Stable Diffusion) 0:55 — Speech Models (Whisper, ElevenLabs) 1:15 — Video Generators (Sora, Veo, Runway) 1:35 — Code Models (Copilot, Cursor, Claude Code) 1:55 — Recommendation AI (YouTube, Spotify, TikTok algorithms) 2:10 — Recap + the next leap The next leap in AI? Combining all six into agents that can talk, see, build, and decide for you. 📌 Subscribe — every video, another broken pattern. #AI #ChatGPT #Midjourney #Sora #Copilot #DeepLearning #MachineLearning #AIExplained #TechExplained #BrokenPatterns
BPTT in RNN Explained | Backpropagation Through Time Made Easy
BPTT in RNN Explained | Backpropagation Through Time Made Easy Title Ideas 1. BPTT in RNN Explained | Backpropagation Through Time Made Easy 2. Master BPTT in Recurrent Neural Networks (RNN) 3. BPTT Tutorial for Beginners | Deep Learning & RNN 4. How RNN Learns? BPTT Explained Step by Step 5. Backpropagation Through Time (BPTT) in RNN | AI & Deep Learning 6. RNN Training Explained with BPTT | Vanishing Gradient Problem 7. BPTT in Deep Learning | Complete RNN Training Guide YouTube Description Welcome to another AI & Deep Learning tutorial on my channel Kanee Lifestyle and Vlogs! In this video, you will learn Backpropagation Through Time (BPTT) in Recurrent Neural Networks (RNNs) in a simple and easy-to-understand way. 📌 Topics Covered: What is RNN? Why BPTT is needed How Backpropagation Through Time works Unfolding RNN in time Gradient calculation in RNN Vanishing Gradient Problem Real-time Deep Learning examples BPTT explained step by step for beginners This video is perfect for: ✅ M.Tech IT Students ✅ AI & Machine Learning Learners ✅ Deep Learning Beginners ✅ Interview Preparation ✅ University Exam Preparation If you enjoy AI, Cybersecurity, Python, and Deep Learning content, subscribe and support the channel ❤️ Keywords / Tags BPTT, Backpropagation Through Time, RNN, Recurrent Neural Network, Deep Learning, Artificial Intelligence, Machine Learning, RNN Tutorial, BPTT Explained, Vanishing Gradient Problem, Neural Networks, LSTM, GRU, AI Tutorial, Deep Learning Tutorial, Python AI, AI for Beginners, MTech IT, AI Concepts, Sequence Models, NLP, TensorFlow, PyTorch, Deep Learning Interview Questions, RNN Training, Kanee Lifestyle and Vlogs
Why Modern LLMs Use GQA | Multi Query and Grouped Query Attention Visually Explained
Why do modern LLMs like Llama, Qwen, Gemma and Gemini use Grouped-Query Attention (GQA) instead of standard Multi-Head Attention (MHA)? In this video we build a complete intuition for Multi-Query Attention (MQA) and Grouped-Query Attention (GQA), two important transformer attention optimizations used in modern large language models. We understand how KV cache memory and memory bandwidth become major bottlenecks during autoregressive decoding and LLM inference, and why transformer architectures moved toward MQA and GQA attention mechanisms for faster inference and reduced KV cache size. We visually explain Multi-Query Attention, Grouped-Query Attention and the spectrum between MHA, MQA and GQA, including how shared key and value projections work across attention heads. We also compare MQA vs GQA performance, KV cache memory consumption, decoding latency and inference efficiency. The second half of the video focuses on implementation in PyTorch, where we start from a baseline Multi-Head Attention implementation and modify it step-by-step into Multi-Query Attention and Grouped-Query Attention. At the end of the video we go through GQA uptraining techniques proposed for converting existing transformer multi head checkpoints into MQA/GQA models. ⏱️ Timestamps: 00:00 Intro - KV Cache Memory & Bandwidth Bottleneck 02:46 Multi-Query Attention (MQA) Explained 03:57 Intuition for what MQA attention heads learn 06:18 Spectrum of MHA, MQA and GQA 07:48 Grouped-Query Attention (GQA) Explained 09:54 KV Cache Size Comparisons 11:04 MQA vs GQA vs MHA Performance Comparisons 11:51 Baseline Multi-Head Attention (MHA) Implementation 13:40 MQA Implementation in PyTorch 15:51 GQA Implementation in PyTorch 17:54 Uptraining MQA/GQA Models 📖 Resources: MQA Paper - https://arxiv.org/pdf/1911.02150 GQA Paper - https://arxiv.org/pdf/2305.13245 🔔 Subscribe: https://tinyurl.com/exai-channel-link Email - explainingai.official@gmail.com
GeoAI Tutorial: What is a Perceptron? | Basics of Neural Networks & AI
Learn the fundamentals of the Perceptron, the basic building block of Artificial Neural Networks (ANN), in this beginner-friendly GeoAI tutorial. 🧠🌍🛰️ In this video, you will understand how a perceptron works, how it processes input data, and why it is important in Machine Learning, Deep Learning, Computer Vision, and Geospatial AI (GeoAI). We will explain concepts such as weights, bias, activation functions, and decision boundaries using simple examples related to geospatial and remote sensing applications. 🔥 What You Will Learn ✔ What is a Perceptron? ✔ History of the Perceptron model ✔ Inputs, weights, and bias explained ✔ Activation functions and output generation ✔ How perceptrons make decisions ✔ Perceptron vs Artificial Neural Network (ANN) ✔ Applications in GeoAI and Remote Sensing 🌍 Why Perceptrons are Important? Perceptrons are the foundation of: Artificial Neural Networks (ANN) Deep Learning models Computer Vision systems Satellite image classification Intelligent geospatial analysis Understanding perceptrons helps build a strong foundation in AI and GeoAI. 🎯 Who Should Watch? Beginners in AI & Machine Learning GIS & Remote Sensing students GeoAI learners Computer Vision enthusiasts Data scientists and researchers 📌 SEO Keywords what is perceptron, perceptron tutorial for beginners, GeoAI perceptron explained, artificial neural network basics, machine learning perceptron model, AI fundamentals tutorial. 🔥 SEO Tags what is perceptron,perceptron tutorial for beginners,GeoAI perceptron explained,artificial neural network basics,machine learning perceptron model,AI fundamentals tutorial,deep learning basics,computer vision AI tutorial,GeoAI neural networks,Earth observation AI 🔥 High-Reach Hashtags #Perceptron #ArtificialIntelligence #MachineLearning #DeepLearning #GeoAI #ComputerVision #ANN #RemoteSensing #GIS #AI
How to Dominate AI SEO & LLM Rankings for More Leads in 2026
🚀 How to Dominate AI SEO & LLM Rankings for More Leads in 2026 AI search is changing everything. In this video, I break down how businesses can rank higher in ChatGPT, Google AI Overviews, Gemini, Claude, and other large language models to generate more leads and dominate search visibility in 2026. You’ll learn: ✅ How AI SEO actually works ✅ How LLMs choose which businesses to mention ✅ Website optimization strategies for AI search ✅ Entity SEO & topical authority tactics ✅ How to get more local leads from AI-driven search ✅ The future of SEO beyond traditional Google rankings If you want your business showing up in AI answers before your competitors, this video is for you. 📞 215-607-6482 📧 sean@needmomentum.com #AISEO #LLMSEO #ChatGPTSEO #SEO2026 #GoogleAI #DigitalMarketing #LeadGeneration #LocalSEO #AIOptimization #MarketingAgency
AI Evals Explained in 3 Steps 🤯 | How Top AI Companies Test Intelligence
Building an AI model is easy now… But proving that it actually works reliably? That’s the real challenge. In this BazAI breakdown, we explore how modern AI evaluation systems work using a simple 3-step framework. This video covers: ✅ Picking the Right AI Task ✅ Collecting Evaluation Datasets ✅ Developing AI Graders We explain how AI companies evaluate: LLMs, RAG systems, coding agents, autonomous AI workflows, reasoning models, safety systems, and multi-agent architectures. You’ll also learn about: 🔹 LLM-as-a-Judge systems 🔹 Human evaluation pipelines 🔹 Code-based grading 🔹 Benchmark datasets 🔹 AI safety testing 🔹 Agent evaluation frameworks As AI becomes more autonomous, evaluation is becoming more important than model size itself. The future of AI belongs to systems that are measurable, reliable, and trustworthy in real-world environments. Subscribe to BazAI for deep AI engineering breakdowns, autonomous agent systems, multimodal AI, and future technology explained simply.
Make PRO Quality AI Visuals Using This All in One AI Enhancer (Nano Banana 2, 4K Video & More!)
�� Try UniConverter V17 now: https://event.wondershare.com/api/s/3Zb 👉 Try UniConverter V17 now: https://event.wondershare.com/api/s/3Zb What if one single AI tool could handle ALL your visual enhancement needs – from 4K image upscaling to anime restoration, thumbnail generation to batch watermark removal? That’s exactly what I’ve been testing for the past few weeks, and in this video, I’ll walk you through every powerful feature packed inside this all-in-one AI visual enhancer. Whether you’re running a faceless YouTube channel, building digital products, or offering online services, this tool will seriously speed up your workflow and level up your content quality. 🔥 What You’ll Learn in This Video: 📸 Image Enhancer (New Models – Nano Banana 2 Inside!): I’ll show you how the image enhancement module now incorporates cutting-edge Nano Banana 2 model algorithms for Clarity Enhancement and Light Enhancement. It sharpens details, balances lighting, and reduces noise – all with a few clicks. Whether it’s AI-generated art, product photos, or portrait shots, the new models deliver stunning, publish-ready results in seconds. 🎬 Video Enhancer (Quality Restoration-Ultra + Topaz Ultra + Anime Enhancement): Got low-res footage or old clips? The Quality Restoration-Ultra mode and Topaz Ultra engine will bring your videos back to life with jaw-dropping clarity and sharpness. Plus, the dedicated Anime Enhancement mode is a total game-changer for faceless creators using animated sequences – it cleans up compression artifacts and restores clean line art effortlessly. 💧 Image Watermark Remover (Perfect for AIGC Images): This tool can intelligently remove watermarks from images generated by popular AIGC platforms (Midjourney, DALL·E, Stable Diffusion, and more), keeping your visuals clean and professional without any Photoshop skills. 🎨 Image Generator (YouTube Thumbnail Generator included): Need scroll-stopping thumbnails? The built-in AI-powered thumbnail generator creates high-CTR visuals optimized for YouTube’s browse features. Just describe your idea, and it turns concepts into thumbnails that actually get clicks. 🔄 Image & Video Converter + Batch Processing: Convert between formats in bulk, compress files, and process dozens of images and videos all at once. If you’re managing high-volume content pipelines, the batch processing feature alone will save you hours every week. ⚡ Why This All-in-One AI Tool Stands Out: No switching between 4–5 different apps Built on advanced AI models including Nano Banana 2 Supports single-image and batch workflows Designed for creators, marketers, and YouTube automation pros 📦 Create. Enhance. Convert. All in One Place. I’ve tested dozens of AI image and video enhancers, and this is the most complete all-in-one solution I’ve come across for content creators who want to move fast without sacrificing quality. Hit play and let me show you exactly how it works – and how you can start using it today. 👉 Download Free Trial Here: https://event.wondershare.com/api/s/3Zb #NanoBanana2 #AIEnhancer #AllinOneAITool #YouTubeAutomation #clovakStudioAi #UniConverter
¿QUÉ SON LOS LLM (MODELOS EXTENSOS DE LENGUAJE DE IA? ¿QUÉ SON LOS CHATBOTS?
Este VIDEO describe cómo funcionan los modelos de lenguaje extensos (LLM), definiéndolos esencialmente como sistemas matemáticos que predicen palabras basándose en probabilidades. Los modelos se desarrollan mediante un entrenamiento masivo con datos de internet, donde ajustan miles de millones de parámetros para mejorar su precisión. La tecnología clave detrás de este avance es el transformador, una arquitectura que permite procesar información en paralelo y entender el contexto mediante un mecanismo llamado atención. Finalmente, el contenido explica que, tras el aprendizaje inicial, se utiliza la retroalimentación humana para refinar el comportamiento del chatbot y lograr que sea más útil y seguro. Debido a su enorme escala, estas herramientas producen resultados asombrosamente naturales que surgen como un fenómeno emergente difícil de explicar en detalle.
Você NÃO entende de IA: vou te mostrar por quê
O que é a inteligência artificial? ChatGPT, Claude, Gemini? Neste vídeo, eu mostro o que essas ferramentas de IA conseguem fazer atualmente na geração de vídeos, músicas, softwares e muito mais. Em seguida, mergulho em um conceito base da IA atual: redes neurais artificiais. Por fim, explico a mecânica de funcionamento de um “large language model” (LLM), ou modelo de linguagem, que é a tecnologia por trás de todos os sistemas modernos de inteligência artificial. Sei que o assunto tá super hypado (ou até saturado), mas acho que hoje é impossível não falar de IA na área de tecnologia. Para o bem e para o mal, essa tecnologia está aí. Tentando entender a fundo como a IA funciona, tive uma sensação de “quebrar a magia”, mas senti também que isso me trouxe tranquilidade no meio de tanto FOMO e medo do desconhecido que esse tema traz junto. 🔗 Plugin para Claude Code citado no vídeo: https://github.com/oprogramadorreal/optimus-claude ⏱️ Capítulos: Eu tô cansado do sensacionalismo! (RANT) - 0:00 O Fim dos Programadores - 1:01 Por que (ainda) precisamos de programadores? - 2:21 O que a IA já consegue fazer - 3:42 O que eu realmente sinto - 4:23 Redes neurais artificiais - 5:54 Large Language Models - 9:05 Próximos passos - 13:12 AI bloopers - 14:32 #InteligenciaArtificial #RedesNeurais #LLM
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
AI যখন শিল্পী! Generative AI ও LLM কীভাবে কাজ করে? (পার্ট-১৩)
কী অবস্থা সবার? এতদিন তো আমরা জানতাম এআই মানে স্রেফ ডেটা এনালাইসিস বা প্রেডিকশন দেওয়া। কিন্তু দুনিয়াটা এখন পুরো চেঞ্জ হয়ে গেছে! এখন এআই ছবি আঁকছে, জট্টিল সব মিউজিক বানাচ্ছে, এমনকি আপনি আর আমি যেভাবে কথা বলছি ঠিক সেভাবে টেক্সটও জেনারেট করছে। আজকের ভিডিওতে আমরা এই "ম্যাজিক" টেকনোলজি বা Generative AI নিয়ে কথা বলবো। 📍 আজকের ভিডিওতে যা থাকছে: জেনারেটিভ এআই আসলে কী? LLM (Large Language Model) কীভাবে বিলিয়ন বিলিয়ন শব্দ পড়ে আমাদের উত্তর দেয়? ডিফিউশন মডেল: কীভাবে এআই শূন্য থেকে ছবি তৈরি করে? 00:00 - Intro: The Magic of Generative AI (জেনারেটিভ এআই-এর ম্যাজিক) 01:00 - What is GenAI? ChatGPT & Gemini (জেনারেটিভ এআই কী?) 01:25 - Analogy: The Digital Library (ডিজিটাল লাইব্রেরির উদাহরণ) 01:45 - How AI Predicts Words (এআই কীভাবে শব্দ প্রেডিক্ট করে) 02:24 - Warning: AI Hallucinations (এআই যখন ভুল তথ্য দেয়) 02:34 - AI Art: Midjourney & DALL-E (এআই দিয়ে ছবি তৈরি) 03:15 - 2026: Voice Cloning & Video (ভয়েস ক্লোনিং ও ভিডিওর যুগ) 03:26 - Human Creativity vs. AI (মানুষের সৃজনশীলতা বনাম এআই) 04:04 - Tips for Creators & Designers (কন্টেন্ট ক্রিয়েটরদের জন্য টিপস) 04:32 - Next: Artificial General Intelligence (পরবর্তী পর্ব: এজিআই) 04:44 - Outro & Subscribe (সমাপ্তি ও সাবস্ক্রাইব) ২০২৬ সালে এআই বনাম মানুষের ক্রিয়েটিভিটি—মানুষের জায়গা কি এআই নেবে? আপনি যদি একজন কন্টেন্ট ক্রিয়েটর, ডিজাইনার বা টেকনোলজি লাভার হন, তবে এই ভিডিওটি আপনার ক্যারিয়ারের চিন্তাধারা বদলে দিতে পারে! Related Tags: জেনারেটিভ এআই, ডাটা সায়েন্স, এআই বাংলা, Generative AI Explained, LLM কী, ChatGPT কীভাবে কাজ করে, Midjourney Bangla, Nabid In Motion, এআই ইমেজ জেনারেশন, ডাটা সায়েন্স ক্যারিয়ার ২০২৬, মেশিন লার্নিং বাংলা, DALL-E 3, এআই বনাম মানুষ, জেনারেটিভ এআই টিউটোরিয়াল, AI for Creativity, Tech Explained Bangla, ২০২৬ প্রযুক্তি, এলএলএম মডেল, আর্টিফিসিয়াল ইন্টেলিজেন্স, OpenAI Bangla, জেমিনি এআই, কন্টেন্ট ক্রিয়েশন ২০২৬, AI Tutorial for Beginners, ফিউচার টেকনোলজি, বাংলা টেক ভিডিও, ডাটা সায়েন্স মাস্টারক্লাস, Stable Diffusion Bangla, এআই দিয়ে ইনকাম, প্রযুক্তির ভবিষ্যৎ, ক্যারিয়ার গাইডলাইন, AI Tools 2026, পাইথন প্রোগ্রামিং, Deep Learning Bangla
I Replaced 5 AI Tools With ONE (Insane Results)
If you’ve used AI image tools before, you already know the struggle… You write a prompt → get a decent image You fix the style → lose the composition You switch tools → start from zero 👇 Try it yourself: https://www.mage.space/createwithai Midjourney for quality Stable Diffusion for control DALL·E for simplicity Runway for video And suddenly… you're not creating anymore. You're just switching between tools. In this video, I’m showing you a platform that completely changed my workflow. 👉 ONE place 👉 160+ AI models 👉 Image + video generation 👉 No limits, no watermarks This is Mage. Instead of juggling 5 different platforms, everything works inside a single system — faster, smoother, and way more efficient. If you're serious about AI content creation, this might be the only tool you need. Watch till the end — I’ll show you exactly how it works and whether it’s actually worth it. --- Timestamps: 00:00 The Problem With AI Tools 00:45 Why Everything Feels Broken 02:10 What is Mage? 03:30 Real Demo (Images + Video) 06:10 Why It’s Different 08:00 Final Verdict --- Tags: ai tools, ai image generator, mage space, midjourney alternative, dall e alternative, stable diffusion alternative, ai video generator, ai content creation, faceless youtube, ai workflow, best ai tools 2026, ai tutorial