Videos de Educación
Videos educativos y de formación.
Educación 184 videos
LLM Explicado do Zero: Como o ChatGPT Entende Texto e Responde
Você já se perguntou o que acontece quando você envia uma mensagem para uma inteligência artificial? Neste vídeo, você vai entender de forma simples como funcionam os LLMs, os modelos de linguagem de grande escala usados por ferramentas como chatbots, assistentes virtuais e aplicações modernas de IA. ⭐ Curso de Python Completo (Do Zero ao Pro): https://academify.com.br/python-completo 🎁 Curso Grátis: https://academify.com.br/curso-gratis-python/ 💻 Compilador Python Online: https://academify.com.br/compilador-python-online/ 📌 Gostou do vídeo? Deixe o like 👍, se inscreva no canal 🔔 e compartilhe com quem está aprendendo Python! 00:00 - O que acontece quando você manda uma mensagem para uma IA 00:15 - O que é um LLM 00:30 - Como o texto vira tokens 00:45 - Tokenização na prática 01:00 - Como a IA prevê a próxima palavra 01:15 - Probabilidades e escolhas do modelo 01:30 - Janela de contexto: a memória da conversa 01:45 - Mecanismo de atenção explicado 02:00 - Embeddings e vetores de significado 02:15 - Parâmetros: o peso do treinamento 02:30 - Por que a IA pode alucinar 02:45 - Feedback humano e melhoria das respostas 02:55 - Token por token: como a resposta é gerada 📲 Me acompanhe: Blog: https://academify.com.br/blog/ Instagram: https://www.instagram.com/leandrohirt.oficial TikTok: https://www.tiktok.com/@leandrohirt.oficial #python #programação #aprendapython #pythonbrasil #dev
Neuromorphic Computing Explained | Spiking Neural Networks (SNNs), Brain-Inspired AI & Future H/W
Unlock the future of artificial intelligence with this in-depth educational video on Neuromorphic Computing—a revolutionary approach that mimics the human brain to create ultra-efficient, adaptive, and intelligent systems. In this lecture-style video, we explore how next-generation AI systems are being designed using brain-inspired principles, combining neuroscience with cutting-edge computing technologies. 🔍 What You Will Learn in This Video: ✅ What is Neuromorphic Computing and how it differs from traditional computing ✅ Understanding Spiking Neural Networks (SNNs) and event-driven learning ✅ The role of neuromorphic hardware in enabling energy-efficient AI ✅ Why hardware-software co-design is essential in modern AI systems ✅ The concept of brain-inspired AI and its advantages over deep learning ✅ Real-world applications in robotics, IoT, healthcare, and autonomous systems ✅ Current challenges and future trends in neuromorphic technology 🧠 Why This Topic Matters: Traditional AI models consume massive computational power and data. Neuromorphic computing offers a paradigm shift toward: ⚡ Ultra-low power consumption 🧩 Real-time adaptive learning 🤖 Efficient edge AI systems 🧠 Human-like intelligence in machines This makes it a critical area for researchers, students, and professionals in: Artificial Intelligence Machine Learning Embedded Systems Robotics Cognitive Computing 🎓 Who Should Watch This? ✔️ Students & researchers in AI/ML ✔️ Engineering & computer science learners ✔️ Educators creating advanced tech content ✔️ Professionals exploring next-gen AI systems ✔️ Anyone curious about brain-inspired computing 🚀 Topics Covered: Neuromorphic Computing Fundamentals Spiking Neural Networks (SNNs) Neuromorphic Chips & Architectures Hardware-Software Co-design Brain-Inspired Artificial Intelligence Future of AI Systems ⚠️ Disclaimer: This video is created using AI-generated content for educational and knowledge-sharing purposes only. While efforts have been made to ensure accuracy and relevance, some information may be incomplete or outdated. 👉 Viewers are strongly encouraged to verify facts from reliable academic and professional sources before applying the concepts. 📢 Engage With Us: If you found this video valuable: 👍 Like the video 💬 Comment your thoughts or questions 🔔 Subscribe for more AI & emerging tech content 📤 Share with fellow learners and researchers #NeuromorphicComputing #SpikingNeuralNetworks #BrainInspiredAI #ArtificialIntelligence #MachineLearning #EdgeAI #AITrends #DeepLearning #FutureOfAI #NeuralNetworks #AIResearch #TechEducation #SNN #NeuromorphicHardware #AIInnovation Neuromorphic Computing, Spiking Neural Networks, SNN explained, Brain Inspired AI, Neuromorphic Hardware, AI hardware design, Hardware Software Co-design, AI future technologies, event driven neural networks, STDP learning rule, low power AI systems, edge AI computing, artificial intelligence tutorial, machine learning lecture, neuromorphic chips, Intel Loihi, IBM TrueNorth, SpiNNaker, cognitive computing, advanced AI concepts, AI education, neural networks explained, emerging AI technologies, real time AI systems
🔥 AI Made Easy for UGC NET CS | Most Expected Topics| PYQs + Mind Maps|AI One Shot Revision
Artificial Intelligence Complete Revision for UGC NET Computer Science Aspirants! 🚀 In this special session, we cover all the most important AI topics frequently asked in UGC NET CS examinations along with Previous Year Questions (PYQs), mind maps, quick revision charts, tricks, and exam-oriented concepts. 📌 Topics Covered: ✅ Intelligent Agents ✅ Environment Classification ✅ Knowledge Representation ✅ Logic & Inference ✅ Semantic Networks ✅ Frames & Scripts ✅ Production Systems ✅ Planning in AI ✅ STRIPS Planning ✅ Expert Systems ✅ UGC NET PYQs Discussion ✅ Mind Mapping Charts for Revision 00:00 – Introduction & Session Overview 01:05 – AI vs. Machine Learning vs. Deep Learning (Core Differences) 01:45 – The Four Approaches of AI (Thinking/Acting Humanly & Rationally) 02:30 – Neural Networks & Deep Learning Explained 06:08 – Classical Planning: Initial State, Action, and Goal 07:55 – Pattern Matching & Relationship between Objects 09:30 – Conflict Resolution Strategies in Production Systems 13:45 – Knowledge Representation Systems (Representational, Inferential, Acquisitional) 15:00 – Types of Knowledge Representation (Logic, Rule-based, Semantic Nets, Frames, Scripts) 17:25 – Strips vs. Scripts (Action-centric vs. Sequence-based) 19:40 – Steps for Knowledge Design & Axiomatizing the Domain 30:40 – First Order Predicate Logic (FOPL) Elements 34:00 – Environment Types & Planning Approaches (Classical, Contingency, Reactive) 36:50 – Agent Systems: Sensors, Controllers, and Actuators 41:15 – Multi-Agent Systems: Cooperation & Coordination 46:30 – Final Summary & Student Interaction
What is an LLM? How it works
How do Large Language Models (LLMs) like ChatGPT, Claude, and Gemini actually work under the hood? Are they just advanced Google search engines, or are they just massive databases? In this video, we break down the mystery behind LLMs using a simple library analogy. You'll learn why an LLM doesn't actually "look up" information, how it stores knowledge as abstract patterns in its parameters (just like a human mind stores patterns), and how the Transformer engine drives every single word it generates. If you want to truly understand AI without getting lost in complex math or confusing diagrams, this 5-minute breakdown is for you! 📌 Timestamps: 0:00 - Intro: The LLM Mystery 0:36 - Database vs. LLM (The Library Analogy) 1:18 - Storing Patterns: Human Mind vs. LLM Parameters 2:18 - How an LLM Actually Answers a Question (Step-by-Step) 4:08 - The Transformer Engine Under the Hood #AI #LLM #GenerativeAI #MachineLearning #ChatGPT #DataScience
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
Tutorial prompt studio #dalle3 #chatgpt #midjourney #fluxai #modacomia
Sua marca de moda não precisa de fotógrafo, estúdio ou modelo para ter um editorial profissional. Precisa do prompt certo. O PromptStudio é a ferramenta que constrói prompts estruturados para geradores de imagem com IA — feito especialmente para marcas de moda independentes que querem resultados editoriais sem custo de produção. ━━━━━━━━━━━━━━━━━━━━━━━━ 🎯 PARA QUEM É O PROMPTSTUDIO? → Donos de marcas de moda independente → Lojistas e e-commerces de roupa → Designers e criativos de moda → Qualquer pessoa que use Midjourney, Flux ou outro gerador de imagem e queira resultados profissionais ━━━━━━━━━━━━━━━━━━━━━━━━ ✅ O QUE O PROMPTSTUDIO FAZ? O problema das imagens geradas por IA é simples: o resultado é tão bom quanto o prompt que você escreve. Um prompt genérico gera imagem genérica. Um prompt estruturado com direção criativa, cenário e atmosfera — gera editorial. O PromptStudio divide o prompt em 3 canais: 🔵 Editorial — conceito e direção criativa 🟢 Cenário — onde a cena acontece 🟡 Luz e Atmosfera — o mood e o estilo Você preenche os 3 campos, o PromptStudio monta o prompt completo. Você copia e cola no gerador que quiser. ━━━━━━━━━━━━━━━━━━━━━━━━ 💡 VANTAGENS ✔ Sem conhecimento técnico necessário ✔ Funciona com Midjourney, Flux, DALL-E, Stable Diffusion e outros ✔ Salve seus prompts favoritos para reusar ✔ Envie fotos do seu produto para gerar descrições com IA ✔ Plano gratuito para começar — sem cartão de crédito ━━━━━━━━━━━━━━━━━━━━━━━━ 🔗 ACESSE AGORA 🌐 Site: https://www.createpromptstudio.com 📧 Suporte: contatopromptstudio@gmail.com ━━━━━━━━━━━━━━━━━━━━━━━━ #PromptStudio #ModaComIA #EditorialModa #MidJourney #FluxAI #PromptEngineering #MarcaIndependente #FashionAI #IAparamoda #MarketingDeModa #FotografiaComIA #EmpreendedoraDeModa
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.