Videos de artificial intelligence
Videos etiquetados con "artificial intelligence"
artificial intelligence 41 videos
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, Computer Vision & ML Training Program | IIT Hyderabad AI Summer School 2026 |
🚀 IIT Hyderabad AI Summer School 2026 | Artificial Intelligence, Computer Vision & Machine Learning In this video, Dr. Satish IRSE explains an exciting AI learning opportunity related to IIT Hyderabad's rapidly growing Artificial Intelligence ecosystem. If you are interested in Artificial Intelligence (AI), Machine Learning (ML), Computer Vision, Deep Learning, Data Science, Robotics, Autonomous Systems, and Future Technologies, this program can help strengthen your profile. IIT Hyderabad is home to India's first dedicated Department of Artificial Intelligence and offers strong exposure to AI research and industry applications. 🎯 Key Learning Areas ✅ Artificial Intelligence Fundamentals ✅ Machine Learning Algorithms ✅ Computer Vision Applications ✅ Deep Learning Concepts ✅ AI Research Trends ✅ Image Processing & Pattern Recognition ✅ Real-world AI Projects ✅ Python for AI & ML IIT Hyderabad's AI ecosystem focuses on domains such as autonomous systems, healthcare AI, natural language processing, computer vision, and industry-driven innovation. Students also benefit from internship and research opportunities. 🎓 Who Can Apply? ✔ B.E. / B.Tech Students ✔ M.Tech Students ✔ B.Sc Students ✔ M.Sc Students ✔ Research Scholars ✔ Faculty Members ✔ AI Enthusiasts Programs in AI, Machine Learning and Computer Vision summer schools are generally designed for UG/PG students, researchers, faculty members and professionals interested in AI technologies. 🔥 Why Students Should Join? ✔ Learn from IIT Faculty & Researchers ✔ Build AI & ML Skills ✔ Explore Computer Vision Applications ✔ Gain Research Exposure ✔ Improve Higher Studies Profile ✔ Enhance Placement Opportunities ✔ Network with AI Community 📚 Trending Technologies Covered • Artificial Intelligence • Machine Learning • Computer Vision • Deep Learning • Neural Networks • Data Science • Robotics • Autonomous Systems • Generative AI • Large Language Models (LLMs) The AI and ML ecosystem at IIT Hyderabad also includes advanced work in autonomous systems, perception, computer vision and machine learning research. In this video Dr. Satish IRSE explains: ✔ Eligibility ✔ Course Benefits ✔ AI Career Scope ✔ Computer Vision Applications ✔ Machine Learning Opportunities ✔ Future AI Jobs ✔ How Students Can Benefit #IITHyderabad #ArtificialIntelligence #MachineLearning #ComputerVision #AI2026 #DeepLearning #DataScience #GenerativeAI #Robotics #EngineeringStudents #TechCareers #FutureSkills #AITraining #MachineLearningCourse #CareerGuidance #DrSatishIRSE #AIJobs #Technology #StudentOpportunities #IIT
Europe’s AI Rulebook Bias, Surveillance, and the Brussels Effect
What happens when governments decide artificial intelligence is too important to be left unregulated? In this episode of The Human Workforce Podcast, Simon Carver, Lachlan Reed, and CJ Murphy explore the European Union's landmark AI Act—the world's first comprehensive framework for regulating artificial intelligence. The discussion examines why Europe became the first major region to establish AI governance rules, how the Act classifies AI systems based on risk, and what the new requirements mean for employers, technology providers, and workers. Topics include: • Why the EU chose a rights-based approach to AI regulation • The four AI risk categories and what they mean • AI-powered hiring and recruitment systems • Employee monitoring and workplace surveillance concerns • AI scoring of workers and performance management implications • Transparency, accountability, and explainability requirements • Compliance challenges for multinational organizations • How European regulations may influence AI governance globally • What workers should understand about AI decision-making in the workplace As AI becomes embedded into hiring, promotions, workforce analytics, and organizational decision-making, the questions of fairness, privacy, and accountability are becoming impossible to ignore. Will the EU AI Act become the global standard for responsible AI governance, or will it slow innovation in a rapidly evolving technology landscape? Join us as we examine one of the most important workforce and technology developments of the decade. #EUAIAct #ArtificialIntelligence #AIGovernance #FutureOfWork #HumanWorkforce #AIRegulation #WorkplaceAI #AIEthics #EmploymentLaw #DigitalTransformation #AICompliance #TechnologyPolicy
3 AI Image Generators Compared
3 AI Image Generators Compared — The best best AI image generators compared Midjourney vs DALL-E vs Stable Diffusion strategies working right now in 2026, tested and explained step by step. 📺 WHAT YOU'LL LEARN: ✅ Pillar 1: Introduction to AI Image Generators ✅ Pillar 2: Top AI Image Generators Compared ✅ Pillar 3: Tips and Tricks for Getting the Most Out of AI Image Generators ✅ Pillar 4: Common Mistakes to Avoid When Using AI Image Generators ✅ Pillar 5: Real-World Applications of AI Image Generators 🛠️ TOOLS MENTIONED IN THIS VIDEO: • Midjourney • Grok • ChatGPT • Gemini • Runway ⏱️ TIMESTAMPS: 00:00 — Introduction 00:20 — Pillar 1: Introduction to AI Image Generators 01:50 — Pillar 2: Top AI Image Generators Compared 03:50 — Pillar 3: Tips and Tricks for Getting the Most Out of AI Image Generators 05:20 — Pillar 4: Common Mistakes to Avoid When Using AI Image Generators 06:50 — Pillar 5: Real-World Applications of AI Image Generators 08:50 — Conclusion & Next Steps 🔔 Subscribe to AiKLUG for weekly AI tools & productivity tips — we test everything so you don't have to. If you're searching for the best vs, best, ai tools — this video covers it all with no fluff, just actionable steps you can use today. 📧 Business: contact@aiklug.com #AITools #ArtificialIntelligence #bestAIimagegeneratorscomp #AIProductivity #AiKLUG
Who Decides What's True? | Tucker Carlson & Sam Altman
ChatGPT answers billions of questions every day. But who decides what answers are allowed? In this conversation, Sam Altman discusses the moral framework behind ChatGPT, how AI systems are trained, who influences their behavior, and the difficult decisions involved in building technology used by hundreds of millions of people. The discussion explores questions about truth, morality, free speech, censorship, privacy, AI influence, religion, and the future impact of artificial intelligence on society. Topics covered: • ChatGPT and moral decision-making • Who decides AI behavior • AI and free speech • Sam Altman on morality • Artificial intelligence and religion • AI influence on society • Privacy and surveillance • The future of AI systems • Unknown risks of artificial intelligence This video is intended for educational and commentary purposes. who decides AI morality, Sam Altman ChatGPT, AI ethics explained, ChatGPT moral framework, OpenAI decision making, AI censorship debate, artificial intelligence future, AI religion discussion, AI and society, ChatGPT bias explained, AI truth and morality, Sam Altman interview AI, OpenAI ethics, future of artificial intelligence, AI influence on society #SamAltman #ChatGPT #tuckercarlson
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
What If Fish Could Be “Scanned” Like a Tesla? | AI Fish Vision Goes Viral
AI Meets Aquaculture: The Future of Non-Destructive Fish Yield Prediction Can computer vision improve seafood production efficiency, genetic selection, and sustainability simultaneously? Presented at the IEEE Canadian Conference on Electrical and Computer Engineering (CCECE 2026), by Gabryelle Guimaraes Castro de Sousa this work demonstrates how RGB-D imaging and AI-driven 3D reconstruction can estimate Nile Tilapia fillet yield without invasive measurements. A powerful example of how digital agriculture, AI, and precision aquaculture are converging to reshape global food systems. Gabryelle Sousa is a visiting research student from São Paulo State University (UNESP), Brazil, supported through a MITACS-funded international research exchange program, and is currently conducting research at Dalhousie University within the Mooanalytica Research Group for a research internship stay under the supervision of Professor Suresh Neethirajan. Her work focuses on AI-enabled precision aquaculture, computer vision, and digital phenotyping applications for sustainable seafood production. #IEEE #Aquaculture #ArtificialIntelligence #ComputerVision #FoodSecurity #SmartAquaculture #DigitalTwin #PrecisionLivestock #AIinAgriculture #FutureOfFood
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
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?
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.