Videos de AI
Videos etiquetados con "AI"
AI 21 videos
Gemini Spark: guida al primo agente di Google
Google ha rilasciato il suo primo agente di IA che lavora in cloud 24/7. Per ora è utilizzabile solo negli USA. In questo video ti mostro cosa riesce a fare e come testarlo dall'Italia. ---- 📘 ACQUISTA il mio nuovo libro: https://www.amazon.it/dp/B0G83NR3GQ ✉️ ISCRIVITI alla mia newsletter: https://vincos.substack.com/ 🎓 SCOPRI i miei corsi di formazione sull'IA Generativa https://vincos.it/corsi-di-formazione/ 🧠 La mia palestra IA https://palestra-ia.it/
Did you get laid off this Summer? YOU ARE NOT ALONE
Some changes happen slowly. Others happen all at once. Across the world, thousands of people are being forced to rethink their careers, their skills, and their future. The reasons might surprise you. This video explores a shift that is affecting workers, students, and entire industries around the world. The numbers are surprising, the consequences are real, and the conversation is long overdue. In this video, we break down why thousands of workers are losing their jobs, what's driving the changes inside major technology companies, and what it means for the future workforce. 👇 Let me know in the comments: Do you think the next generation will have better opportunities than today's workforce? ⏱️ Chapters 00:00 The Shocking Number 00:45 Tech Layoffs By The Numbers 01:45 Why Companies Are Really Cutting Jobs 02:45 Who Is Getting Hit The Hardest? 03:30 The AI Hiring Paradox 📈 Topics Covered • AI replacing jobs • Tech layoffs 2026 • Meta layoffs • Cisco layoffs • Cloudflare layoffs • Coinbase layoffs • Future of software engineering • Artificial intelligence and employment • Automation and workforce changes • Product management careers • Future of work • Tech industry trends #AI #TechLayoffs #ArtificialIntelligence #FutureOfWork #TechJobs #Automation #Meta #SoftwareEngineering #ProductManagement #Technology #CareerAdvice #MachineLearning #Layoffs #TechNews
Google Omni красиво показали, но тест не вывез
Google показала Gemini Omni Flash — новую видеомодель внутри Gemini, которая умеет генерировать и редактировать ролики из текста, изображений, видео и части аудио-входов. Главная ставка сделана на multi-turn editing: сцену можно менять поэтапно через диалог, не пересобирая клип с нуля. Google отдельно продвигает world understanding — модель должна лучше держать физику, причинно-следственные связи и контекст по сравнению с обычными video models. В Gemini доступны 10-секундные ролики, работа с несколькими фото-референсами, вертикальный и горизонтальный формат, а также AI avatar. Все видео получают SynthID-водяной знак. На практике тесты пока выглядят слабее презентации. Да, генерация быстрая, а сам диалоговый формат редактирования удобный, но стабильность персонажей остаётся проблемой: даже с загруженным референсом лицо заметно меняется от сцены к сцене. В тесте с генерацией сцены про Петра I модель не удержала образ и выдала типичный “нейрослоп” вместо цельного ролика. Тайминг сцен вручную не настраивается — паузы, движение камеры и смены действий приходится описывать текстом. Озвучка речи персонажей в тестах также не проявилась. Бесплатный доступ заявлен на ограниченный период с небольшим лимитом генераций, после чего требуется подписка Gemini. #ai #aivideo #generativeai #Google #Gemini #GeminiOmni #OmniFlash #SynthID #AIvideo #multiturnediting #GoogleAI #videogeneration #AIavatar
AI vs Machine Learning vs Deep Learning Explained Simply 🤖 | Full Beginner Guide 2026
🚀 Want to understand the difference between Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL)? In this video, we explain everything in simple Indian English with real-world examples, interview concepts, career guidance, and industry use cases. Perfect for students, freshers, software engineers, and anyone starting their AI journey in 2026. 🔥 In This Video: ✔ What is Artificial Intelligence? ✔ What is Machine Learning? ✔ What is Deep Learning? ✔ AI vs ML vs DL Differences ✔ Real-world Applications ✔ AI Engineer Career Roadmap ✔ Skills Required in 2026 ✔ Salary & Job Opportunities ✔ Beginner-Friendly Explanation ✔ Interview Questions & Answers 💡 Whether you're preparing for placements, coding interviews, or starting a tech career, this video will give you a complete understanding of AI technologies shaping the future. 📌 Topics Covered: Artificial Intelligence Machine Learning Deep Learning Neural Networks Generative AI AI Careers Data Science AI Engineering ChatGPT & Modern AI Tools 🔥 Subscribe for more: AI Tutorials • Cloud Computing • Interview Preparation • Career Guidance • Tech Trends • Coding Roadmaps #AI,#MachineLearning,#DeepLearning,#ArtificialIntelligence,#AI2026,#MLEngineer,#AIEngineer,#DataScience,#ChatGPT,#GenerativeAI,#Python,#Coding,#Tech,#InterviewPreparation,#SoftwareEngineer,#NeuralNetworks,#CloudComputing,#FutureOfAI,#AITutorial,#MLTutorial,#DeepLearningTutorial,#Programming,#Students,#TechCareer,#AIJobs,#AIInterviewQuestions,#LearnAI,#CodingInterview,#AIForBeginners,#techeducation #AI,#MachineLearning,#DeepLearning,#ArtificialIntelligence,#AI2026,#ChatGPT,#OpenAI,#GenerativeAI,#AITools,#AIEngineer,#MachineLearningEngineer,#DeepLearningAI,#NeuralNetworks,#Python,#Coding,#Programmer,#SoftwareEngineer,#DataScience,#DataScientist,#BigData,#Tech,#Technology,#TechNews,#Innovation,#FutureTech,#FutureOfAI,#LearnAI,#AITutorial,#MLTutorial,#DeepLearningTutorial,#CodingTutorial,#Programming,#ComputerScience,#Developer,#FullStackDeveloper,#CloudComputing,#AWS,#Azure,#GoogleCloud,#DevOps,#CyberSecurity,#InterviewQuestions,#InterviewPreparation,#PlacementPreparation,#FreshersJobs,#EngineeringStudents,#CollegeStudents,#StudyMotivation,#CareerGrowth,#HighSalarySkills,#PassiveIncome,#OnlineLearning,#TechCareer,#AIJobs,#RemoteJobs,#Startup,#Business,#DigitalMarketing,#Productivity,#Automation,#AIApps,#ViralVideo,#Trending,#ExplorePage,#YouTubeGrowth,#YouTubeSEO,#ContentCreator,#Vlog,#HindiTech,#IndianYouTuber,#TechIndia,#LearnCoding,#CodeWithAI,#AITips,#SmartStudents,#Education,#SkillDevelopment,#FutureSkills,#NoCode,#100DaysOfCode,#Reels,#ViralReels,#TechReels,#Shorts,#YouTubeShorts,#TrendingNow,#ML,#DL,#LLM,#GPT4,#OpenAIChatGPT,#AICommunity,#ArtificialGeneralIntelligence,#AGI,#AIRevolution,#NextGenAI,#AIExplained,#TechExplained,#BTech,#EngineeringLife,#CampusPlacement,#JobReady,#SelfImprovement,#SuccessMindset,#MakeMoneyOnline,#StudentLife,#AIForStudents,#LearnMachineLearning,#DeepLearningProjects,#AIProjects,#PythonProjects,#CodingLife,#ProgrammersLife,#TechWorld,#DigitalFuture,#InternetOfThings,#Blockchain,#SaaS,#Entrepreneurship,#Freelancing,#RemoteWork,#TechChannel,#EducationChannel,#Knowledge,#Motivation,#CareerTips,#CloudEngineer,#DataEngineer,#SoftwareJobs,#StudyWithMe,#LearnWithMe,#ExamPreparation,#CodingMotivation,#InnovationTech,#AIContent,#AIUpdates,#TrendingTech,#FutureCareer
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
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
Google's I/O 2026 LineUp - OMNI, XR Glasses & Gemini 3.5 That Runs Your Life
The tech titans are spending billions for the prize: our complete digital life. Google is shifting its focus from chatbots to Gemini AI, aiming to make Android an active intelligence system that usheres in the agentic AI era. This push towards AI agents and AI integration highlights the future of AI where Android becomes a truly intelligent system. #GoogleIO #AIAgent #XRGlasses #Gemini #FrontPage #AIMNetwork ------------------------------------------------------------------------------------------ 👋 ABOUT AIM NETWORK AIM Network is India's leading voice on the intersection of AI, Technology, and Business. We bring you sharp analysis, breaking news, and original perspectives on everything from Generative AI breakthroughs to geopolitical market shifts. 🔔 Subscribe for daily insights: https://www.youtube.com/@aimmediahouse?sub_confirmation=1 📺 WATCH OUR POPULAR SERIES: - Front Page (Daily Tech News): https://www.youtube.com/playlist?list=PL9Kc1zSa46OxR8h0ZgAfEENta0vaxfWrs - Tech Talks (Podcast): https://www.youtube.com/playlist?list=PL9Kc1zSa46OyXflFLWtmF5MN3jvdxDFE3 -Simulated Reality (Podcast) - https://www.youtube.com/playlist?list=PL9Kc1zSa46OwqKv91j8W6vZ-V5DucIU4Y 📰 STAY UPDATED: Website: https://analyticsindiamag.com/ LinkedIn: https://in.linkedin.com/company/analytics-india-magazine Twitter/X: https://x.com/Analyticsindiam Instagram: https://www.instagram.com/aim.media.house/ ------------------------------------------------------------------------------------------
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
Unitree Just Dropped A Real Life MECHA AI Robot
Unitree just revealed the GD01, a real manned mecha robot that can walk on two legs, smash through walls, switch into a four-legged mode, and carry a human pilot inside. From China’s robot supply chain advantage to Figure AI’s autonomous humanoids and Physical Intelligence’s robot brain, humanoid robotics is moving fast. 📩 Brand Deals & Partnerships: collabs@nouralabs.com ✉️ General Inquiries: airevolutionofficial@gmail.com 🚀 New Channel: https://www.youtube.com/@space.revolution 🧠 What You’ll See 0:00 Intro 00:21 How Unitree revealed the GD01 manned mecha robot SOURCE: https://www.wired.com/story/unitree-gd01-mecha-robot/ Why Unitree’s GD01 is being called a production-ready manned mecha SOURCE: https://interestingengineering.com/ai-robotics/video-unitree-launches-the-worlds-first-production-ready-manned-mecha-robot 1:09 How the GD01 walks, crawls, transforms, and smashes through walls SOURCE: https://www.theverge.com/tech/929487/unitree-gd01-giant-mech-suit-robot 2:47 Why Elon Musk reacted to Unitree’s new mecha robot SOURCE: https://www.globaltimes.cn/page/202605/1360886.shtml 3:25 Crossing the Engineering Threshold of Embodied AI 4:25 How Unitree shipped over five thousand humanoid robots in 2025 SOURCE: https://shop.unitree.com/blogs/news/clarification-regarding-unitrees-2025-sales-data 6:44 How China is pulling ahead in humanoid robot shipments SOURCE: https://restofworld.org/charts/2026/JP73G-humanoid-robot-shipments-2025 8:23 Figure AI's Two Humanoids Reset a Bedroom Autonomously 10:57 Physical Intelligence & the GPT-2 Moment for Robots 🚨 Why It Matters This is bigger than one viral robot demo. Unitree’s GD01 shows how fast China is turning humanoid robots from sci-fi ideas into real products, while US robotics companies race to catch up. #ai #unitree #robot
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
【速報】Claude Code v2.1.133 アップデートまとめ #Shorts
Claude Code v2.1.133 の主な変更点をまとめました。 【worktree設定の刷新】 ・worktree.baseRef設定が追加 ・EnterWorktreeの既定が変更 ・--worktreeやエージェント分離にも適用 【新設定とフック拡張】 ・sandboxバイナリのパス指定 ・parentSettingsBehavior追加 ・効果レベルがフック・Bashに公開 【パフォーマンスとUX改善】 ・フォーカスモードの挙動改善 ・メモリ使用量の最適化 【セッション・並列処理の修正】 ・並列セッションの401問題を解消 ・/effortが他セッションに伝播する問題 ・subagentがSkillを発見できない問題 ・Remote Controlの停止不全を修正 【その他の修正】 ・Edit/Writeのドライブルート許可 ・ネットワークドライブ対応 ・MCP OAuthのプロキシ・mTLS対応 ・VSCode拡張とその他修正 📋 リリースノート https://github.com/anthropics/claude-code #ClaudeCode #Anthropic #AI #CodingAssistant #Shorts
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