Videos de Educación
Videos educativos y de formación.
Educación 82 videos
LLMs Explained (10 Minute Masterclass)
@AIwithArunShow Imagine a library the size of Texas containing every word ever written, and a guide who has read it all. In this episode of AI with Arun Show, we peel back the curtain on Large Language Models (LLMs)—the digital wizards behind ChatGPT. We move past the scary jargon to show you how these systems actually function as "autocomplete on steroids," using massive mathematical probability to mirror human thought. Whether you're curious about how AI translates "king - man + woman = queen" or why it sometimes confidently makes things up (hallucinations), this deep dive covers it all. Learn the three pillars of LLMs—Large, Language, and Model—and how to master the "Trust but Verify" rule for effective collaboration. 🚀 Ready to build with AI? Watch now to transition from basic exploration to effective collaboration! 👉 CALL TO ACTION: If you found this breakdown helpful, join our community of AI enthusiasts! Click the JOIN button below to become a member and support the show. 3. Detailed Timestamps 00:00 – The Texas-Sized Library: Visualizing AI’s Knowledge 00:49 – What exactly is an LLM? 01:31 – Breaking down the acronym: Large, Language, Model 02:32 – Autocomplete on Steroids: The Math of Probability 03:26 – The "Once Upon a Time" Game 04:08 – Digital School: How AI is Trained and Coached 06:31 – Embeddings: How Computers Turn Ideas into Algebra 06:53 – From 2017 to Today: The Rise of Transformers 07:28 – The Hallucination Problem: Why AI Makes Things Up 08:42 – 3 Best Practices for Working with AI 09:47 – How to Use Your Creative Partner #AI #ChatGPT #llm #ArtificialIntelligence #MachineLearning #TechExplained #GenerativeAI #DataScience #FutureOfWork #aiwitharunshow Themes How do Large Language Models work simple explanation Understanding the difference between AI and LLMs What are AI hallucinations and why do they happen? The math behind ChatGPT: Embeddings and Probability Training process for AI: Pre-training and Human Coaching "The digital library is officially open! 📚 Which of the three AI best practices—Partnering, Iterative Dialogue, or 'Trust but Verify'—surprised you the most? Drop your thoughts below and tell me what you're planning to build first! 👇" FOR THE COMMUNITY Did you know that AI doesn't actually "understand" ideas, but instead performs complex algebra on concepts? In today’s new video, we’re diving deep into the world of Large Language Models (LLMs). We explore: Why ChatGPT is like an 'imaginative intern' The 'Once Upon a Time' trick that explains AI math How to avoid the trap of AI hallucinations This isn't just about tech jargon; it's about learning how to collaborate with a mirror of our collective human knowledge. Watch the full breakdown here: https://youtu.be/Xi5mLgA9zBI Let's get ahead of the curve together. See you in the comments! 🚀 Made with Google Vids https://vids.new/ #MadeWithGoogleVids
"Midjourney AI Review 2026 — I Generated 10,000 Images and Here Is the Complete Honest Truth"
I have generated over ten thousand images using Midjourney across thirty days of real commercial creative work — brand identity projects, content creation pipelines, YouTube thumbnail production, and client deliverables with real deadlines and real professional standards. This is the complete honest review of what I found across every major capability, every significant limitation, and every practical workflow application that matters for creators and professionals using this platform in 2026. In this video I cover the complete Midjourney V6 feature set — image generation quality, the five-layer prompt architecture, the full parameter system, the vary and upscale workflow, character reference for consistent identity across scenes, inpainting with Vary Region, outpainting with Zoom Out, Niji mode for anime and illustration, the pricing structure across all four plans, integration with professional creative tools, direct comparison against DALL-E 3, Stable Diffusion, and Adobe Firefly, and the complete honest limitations that every creator needs to know before spending a single dollar on any subscription plan. This is not a sponsored video. Midjourney has no involvement in this review. Thirty days of real professional use with ten thousand generated images and completely honest results. What you will learn in this video: How Midjourney V6 generation quality compares to professional photography in direct blind testing The five-layer prompt architecture that separates beginner outputs from professional results consistently How the complete parameter system works including aspect ratio, version, quality, stylize, chaos, and seed The generate, vary, and upscale iterative workflow for achieving precise professional visual outcomes How character reference maintains consistent facial identity across unlimited different generated scenes How Vary Region inpainting and Zoom Out outpainting work in real creative workflow applications The complete Niji mode capability for anime and illustration generation compared to standard mode The full pricing breakdown across Basic, Standard, Pro, and Mega plans and which one makes sense for your needs How Midjourney compares directly against DALL-E 3, Stable Diffusion, and Adobe Firefly on identical prompts The complete honest limitations including text rendering failures, hand anatomy errors, and prompt adherence inconsistency How the Midjourney Discord community functions as a creative education resource for skill development How to integrate Midjourney into a complete professional creative pipeline with other tools The real cost efficiency data comparing Midjourney subscription cost to equivalent traditional creative services My final verdict and rating after thirty days and ten thousand generated images of professional testing The Midjourney link and a complete beginner prompt guide covering all five prompt architecture layers are in the pinned comment below. The free trial requires no credit card to begin testing. --------------------------------------------------------------------- midjourney review, midjourney v6 review, midjourney ai 2026, midjourney tutorial, best ai image generator, midjourney vs dall-e, midjourney prompts, midjourney parameters, midjourney character reference, midjourney niji mode, ai image generation 2026, midjourney pricing, midjourney workflow, midjourney vs stable diffusion, midjourney commercial use, ai art generator review, best ai art tool, midjourney beginner guide, midjourney professional, midjourney honest review -------------------------------------------------------------------- #Midjourney #MidjourneyV6 #AIImageGenerator #AIArt2026 #MidjourneyReview #AITools #ContentCreation #AIImageGeneration #MidjourneyTutorial #artificialintelligencemusic ----------------------------------------------------------------------- ⚠️ This video was created using Artificial Intelligence (AI-generated content). ━━━━━━━━━━━━━━━━━━━━━━━━ 🤖 How this video was made: The script, visuals, voiceover, and editing were all produced with AI tools. All content is original and created exclusively for this channel. ━━━━━━━━━━━━━━━━━━━━━━━━ 📌 What this channel is about: We explore the best AI tools for creating videos, images, music, and scripts — fast and for free. New videos every week. Subscribe so you don't miss out 👇 ━━━━━━━━━━━━━━━━━━━━━━━━ 🛠️ Tools used in this video: • Script: Claude (claude.ai) • Images: Midjourney / Flux • Video: Kling AI / Runway • Voiceover: ElevenLabs • Editing: CapCut / DaVinci Resolve ━━━━━━━━━━━━━━━━━━━━━━━━ 📢 AI Disclosure (required by YouTube policy): This content was partially or fully created using artificial intelligence tools. We comply with YouTube's synthetic media policy. #AIVideo #ArtificialIntelligence #AIGenerated #AITools #AIContent
What Is vLLM? ⚡ Fastest Way to Run AI Models Explained
🚀 In this video, learn What is vLLM and how it helps run Large Language Models (LLMs) faster and more efficiently. We’ll explain: ✅ What vLLM is ✅ How vLLM works ✅ Why it is faster than traditional inference methods ✅ GPU memory optimization with PagedAttention ✅ How to use vLLM for AI applications ✅ vLLM vs Ollama comparison ✅ Best use cases for developers & AI startups vLLM is becoming one of the most popular tools for serving AI models like Llama, DeepSeek, Mistral, and other open-source LLMs. If you're interested in AI, machine learning, ChatGPT alternatives, or self-hosted LLMs, this video is for you! 🔥 📌 Perfect for: AI Developers Python Programmers Machine Learning Engineers GenAI Enthusiasts Odoo & Automation Developers #vLLM #AI #LLM #MachineLearning #ArtificialIntelligence #Python #DeepSeek #Llama3 #GenAI #TechTutorial #OpenSourceAI #AIModels #InferenceEngineWhat Is vLLM? ⚡ Fastest Way to Run AI Models Explained vLLM Explained Simply 🚀 Speed Up Your AI & LLM Inference vLLM Tutorial for Beginners 🔥 Run Large Language Models Faster What Is vLLM and Why Everyone Is Using It? 🤖 vLLM vs Ollama vs LM Studio ⚔️ Best AI Model Runner? How vLLM Makes AI Models Super Fast ⚡ Beginner Guide vLLM Explained in Hindi 🇮🇳 Fast AI Inference Engine Run Llama & DeepSeek Faster with vLLM 🚀 Full Explanation vLLM Setup & Overview 🧠 High-Speed LLM Serving Made Easy Why Developers Love vLLM 💡 AI Model Optimization Explained
COMO USAR O NOVO GEMINI OMNI PARA CRIAR TUDO (TUTORIAL COMPLETO)
Como criar vídeos com IA usando o gemini omni APRENDA COMIGO A APLICAR IA NO SEU TRABALHO, NO DIGITAL OU EM SERVIÇOS PARA GERAR RENDA EXTRA 👉 ME CHAME NO WHATS: https://wa.link/preguicartificial-of Links: https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-omni/ https://deepmind.google/models/gemini-omni/prompt-guide/ ✅Playlist de cursos gratuitos: https://youtube.com/playlist?list=PLNQBpbIienGEf4oI5z3wFOd_qexy0UrUe&si=oAqDO7cqeYPFB6X6 Editor: designersalvatore@gmail.com Neste canal, abordamos o que é a inteligência artificial e como ela está sendo aplicada em diferentes áreas, como tecnologia. Discutimos tipos de IA, como aprendizado profundo e racional, e os desafios e oportunidades que ela traz. O objetivo aqui é apresentar ferramentas de IA que facilitem o trabalho cotidiano das pessoas e como elas podem se preparar para o futuro com ela. Inscreva-se neste canal se quiser facilmente encontrar maneiras de trabalhar de forma independente, usando ferramentas como Midjourney, Stable diffusion, DALL·E 2, ChatGPT, etc. #midjourney #Stablediffusion #promptformidjourney #midjourneyai #chatgpt
¿Cómo funcionan los grandes modelos de lenguaje LLM?
La evolución técnica y conceptual de la inteligencia artificial, destacando la transición hacia un nuevo paradigma denominado Software 3.0. Andrej Karpathy explica cómo hemos pasado de programar mediante código explícito a entrenar redes neuronales y, finalmente, a utilizar el lenguaje natural como interfaz de programación para modelos de lenguaje. Por su parte, líderes de Google DeepMind debaten sobre el camino hacia la Inteligencia Artificial General (AGI), enfatizando la importancia de combinar el escalamiento de datos con avances algorítmicos y procesos de razonamiento profundo. Los textos técnicos complementan esta visión detallando la arquitectura de los Transformers, explorando componentes críticos como la normalización RMS, las activaciones tipo SwiGLU y las incrustaciones rotatorias de posición. En conjunto, el material describe un ecosistema donde la IA actúa como un nuevo sistema operativo capaz de interactuar de forma autónoma a través de agentes y herramientas. Esta transformación redefine el desarrollo de software, permitiendo que tanto expertos como usuarios comunes colaboren con sistemas cada vez más capaces de razonar y ejecutar tareas complejas.
Power Tip: Distilling Design From AI Generated Images
In this week’s Power Tip, we explore how to use AI-generated images to enhance your design process. Learn how to create a unique color palette with tools like Photoshop and AI image generators. We’ll guide you through extracting colors, generating conceptual visuals, and using Photoshop’s Generative Fill tool to refine your designs. Whether you're working with Midjourney, DALL-E, or Stable Diffusion, this tutorial will spark new creative ideas and help you bring your design visions to life.
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?
Autoencoders - Explained
An autoencoder is a neural network that learns to compress its own input and rebuild it. We start with the impossible-sounding task — squeeze a 49-pixel image down to two numbers and expand it back — then build the hourglass architecture, split it into encoder and decoder, and derive the reconstruction loss that trains the whole thing without a single label. By the end you'll see why the bottleneck is the real trick: forcing the network to carry meaning through a narrow waist is what organises the latent space and turns one idea into denoising, anomaly detection, and generation. *Related Videos* ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Variational Autoencoder - Explained: https://youtu.be/geH5HnRapRs Generative Adversarial Networks (GANs) - Explained: https://youtu.be/G-fXV-o9QV8 Convolutional Neural Networks (CNNs) - Explained: https://youtu.be/YGILT182T6w Recurrent Neural Networks (RNNs) - Explained: https://youtu.be/8G1fImBCMcQ Backpropagation is Just the Chain Rule: https://youtu.be/VCGlYxGJZ04 Activation Functions in Neural Networks - Explained: https://youtu.be/slp222E_0d4 UMAP - Explained: https://youtu.be/kwILqPNZyeo Normalization vs Standardization - Explained: https://youtu.be/87C5hkTY8RI *Contents* ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 00:00 - The Impossible Shortcut 00:22 - The Bottleneck 00:53 - Encoder and Decoder 01:21 - Reconstruction Loss 01:48 - The Latent Space 02:08 - Why This Matters *Follow Me* ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 🐦 X: @datamlistic https://x.com/datamlistic 📸 Instagram: @datamlistic https://www.instagram.com/datamlistic 📱 TikTok: @datamlistic https://www.tiktok.com/@datamlistic 👔 Linkedin: https://www.linkedin.com/company/datamlistic *Channel Support* ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ The best way to support the channel is to share the content. ;) If you'd like to also support the channel financially, donating the price of a coffee is always warmly welcomed! (completely optional and voluntary) ► Patreon: https://www.patreon.com/datamlistic ► Bitcoin (BTC): 3C6Pkzyb5CjAUYrJxmpCaaNPVRgRVxxyTq ► Ethereum (ETH): 0x9Ac4eB94386C3e02b96599C05B7a8C71773c9281 ► Cardano (ADA): addr1v95rfxlslfzkvd8sr3exkh7st4qmgj4ywf5zcaxgqgdyunsj5juw5 ► Tether (USDT): 0xeC261d9b2EE4B6997a6a424067af165BAA4afE1a #autoencoders #deeplearning #machinelearning
3. Deep Learning Explained | Applications, Challenges & Ethics
Dive deep into the world of Deep Learning Models in this comprehensive video covering Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), Diffusion Models, and Transformers. Whether you're a student, AI enthusiast, or professional, this video breaks down complex concepts into easy-to-understand explanations. We begin with an introduction to deep learning, the driving force behind modern AI systems like ChatGPT and Google Gemini. Then, we explore how VAEs learn compressed probabilistic representations, how GANs generate realistic data through adversarial training, and how Diffusion Models create high-quality images by reversing noise. Next, we uncover the power of Transformers, the revolutionary architecture behind today’s most advanced natural language processing and multimodal systems. From text generation and translation to image synthesis, these models are transforming industries worldwide. 🚀 What you'll learn in this video: What deep learning models are and why they matter How VAEs, GANs, Diffusion Models, and Transformers work Real-world applications in healthcare, finance, entertainment, and robotics Key challenges like computational cost, bias, and interpretability Ethical concerns including misinformation, privacy, and responsible AI 🌍 Real-World Impact: Discover how deep learning powers innovations such as disease detection, fraud prevention, recommendation systems, autonomous vehicles, and more. ⚠️ Challenges & Ethics: We also discuss the limitations and ethical implications of AI, including bias in datasets, deepfakes, and the importance of transparent AI systems. 📌 Disclaimer: This video is created for educational and knowledge purposes only. The content is AI-generated, and while efforts have been made to ensure accuracy, some information may be incorrect or outdated. Viewers are encouraged to verify facts independently. #DeepLearning #ArtificialIntelligence #MachineLearning #Transformers #GANs #VAEs #DiffusionModels #AI #DataScience #NeuralNetworks #TechEducation #FutureOfAI #AIEthics #GenerativeAI deep learning models, VAE explained, GAN tutorial, diffusion models AI, transformers neural networks, generative AI explained, artificial intelligence basics, machine learning models, GPT and BERT explained, deep learning applications, AI in healthcare, AI ethics issues, neural networks tutorial, AI technologies 2026, generative models comparison
LLM Fundamentals Explained | How ChatGPT & Large Language Models Work”
🚀 Want to understand how ChatGPT and AI actually work? In this video, we break down Large Language Models (LLMs) in a simple and beginner-friendly way! Learn the fundamentals of LLMs, Tokens, Embeddings, Hidden States, AI Reasoning, and Generative AI with easy explanations and real-world examples. This video is perfect for students, beginners, M.Tech learners, AI enthusiasts, engineering students, interview preparation, and anyone curious about Artificial Intelligence. 📌 In this video, you will learn: ✅ What is a Large Language Model (LLM)? ✅ How LLMs work step-by-step ✅ Evolution of AI language understanding ✅ Tokens, Embeddings & Hidden States explained ✅ Difference between traditional NLP and Generative AI ✅ How ChatGPT understands language ✅ Real-world applications of LLMs ✅ AI concepts explained in simple language 🎯 Who should watch this? ✔ Engineering Students ✔ M.Tech / B.Tech Students ✔ AI & Machine Learning Beginners ✔ Cybersecurity & IT Students ✔ Interview Preparation Candidates ✔ Tech Enthusiasts 🔥 If you found this video useful, Like, Share & Subscribe for more AI, Cybersecurity, Python, Software Testing, and Technology videos! #LLM #ArtificialIntelligence #ChatGPT #MachineLearning #AIForBeginners #DeepLearning #NLP #LLMExplained #AITutorial #GenerativeAI
Como o "cérebro" da IA funciona? #inteligenciaartificial #chatgpt #openai
Como a IA moderna funciona? Uma rede neural artificial é um modelo matemático inspirado no funcionamento do cérebro humano. Essa é uma das bases tecnológicas de sistemas modernos de IA, incluindo LLMs como o ChatGPT. #largelanguagemodels #ia #neuralnetworks
The AI Factory: Engineering Modern LLM Inference Pipelines | Uplatz
Modern AI systems are no longer simple models running isolated predictions—they operate like massive digital factories processing billions of requests, orchestrating GPUs, managing memory, and delivering intelligent responses at global scale. In this video, we explore “The AI Factory” and break down how modern LLM inference pipelines are engineered for performance, scalability, and efficiency. This video is by Uplatz. You’ll learn how large language model inference works behind the scenes, from token generation and request routing to distributed GPU execution and response optimization. We explain why inference engineering has become one of the most critical challenges in the generative AI era. The video dives into core components of modern inference pipelines including model serving, batching strategies, KV cache management, GPU scheduling, vector databases, retrieval-augmented generation (RAG), and low-latency orchestration systems. You’ll understand how organizations optimize infrastructure to reduce inference costs while maintaining performance and responsiveness. We also explore technologies and frameworks used in production AI systems such as Kubernetes, Ray, and vLLM for scalable AI deployment and inference acceleration. Additionally, we discuss concepts like model quantization, mixture-of-experts (MoE) architectures, inference parallelism, autoscaling, observability, and AI infrastructure optimization. Learn how companies engineer AI platforms capable of serving millions of users across enterprise applications, copilots, AI agents, and multimodal systems. Whether you're an AI engineer, platform architect, DevOps professional, cloud engineer, researcher, or technology enthusiast, this video provides a practical and structured understanding of how modern LLM inference factories operate at scale. For full course browse https://uplatz.com/online-courses #LLM #GenerativeAI #AIInfrastructure #MLOps #LLMOps #ArtificialIntelligence #vLLM #GPUComputing #AIEngineering #Uplatz ---------------------------------------------- 🌐 Welcome to Uplatz – Your Gateway to Career Transformation! To access full courses or training bundles: 🌐 https://uplatz.com 📧 support@uplatz.com 🎓 About Uplatz Uplatz is a global leader in online IT and professional training, offering comprehensive courses in AI, machine learning, data science, cloud computing, cybersecurity, and enterprise technologies such as SAP, Oracle, Salesforce, and ServiceNow. With expert-led programs and real-world learning paths, Uplatz empowers learners and organizations across 190+ countries to build future-ready skills and thrive in the digital era. 📘 Explore Uplatz Course Portfolio Learn the most in-demand and emerging technologies with Uplatz: ✅ AI & Machine Learning – Agentic AI, LLMs, LangChain, Deep Learning, MLOps, LLMOps ✅ Cloud & DevOps – AWS, Azure, GCP, Docker, Kubernetes, Terraform, CI/CD ✅ Data & Analytics – Data Science, Data Engineering, Power BI, Tableau, Big Data (Spark, Kafka) ✅ Programming & Frameworks – Python, FastAPI, Django, Java, JavaScript, SQL ✅ Cybersecurity & Blockchain – Ethical Hacking, Cloud Security, Zero Trust, Blockchain & Web3 ✅ IoT & Embedded Systems – IoT Platforms, Edge Computing, Embedded C, Microcontrollers ✅ ERP & CRM – SAP (all modules), Salesforce, Oracle ERP, Microsoft Dynamics ✅ Web & App Development – Full-Stack Development, React, Angular, Node.js, Flutter 🎓 Master cutting-edge skills. Build your tech career with Uplatz. 🌐 Learn more: https://uplatz.com 🎯 Why Choose Uplatz ✔️ Job-focused, project-based learning ✔️ Globally recognized certifications ✔️ Lifetime access & affordable pricing ✔️ Career guidance and mentorship 🔔 Subscribe for weekly tech tutorials, demos, and success stories. 📲 Follow us on LinkedIn, Instagram, Twitter, and Facebook. #Uplatz #Tech #Technology #MachineLearning #CloudComputing #Learning