How Google Gemini Works Explained | LLM, Transformer, Multimodal AI & Tokenization

Have you ever wondered how Google Gemini actually works? In this beginner-friendly tutorial, you'll learn the complete workflow of Google's Gemini AI, from the moment you enter a prompt to how it generates a natural, human-like response. We'll explain every concept using simple animations and real-world examples, making it easy to understand even if you're new to Artificial Intelligence. 📚 In this video you'll learn: What Google Gemini is How Gemini processes text, images, audio, video, and documents Tokenization explained Transformer Architecture Context Understanding Relationship Understanding Next Token Prediction Probability Prediction Response Generation Complete Gemini Workflow Where Gemini gets its knowledge Multimodal AI explained Search vs Learned Knowledge Real-world coding example Gemini's strengths and limitations Key takeaways This video is perfect for: AI beginners Students Software developers .NET and C# developers Computer Science learners Anyone curious about how Large Language Models work If you enjoy this video, don't forget to Like, Subscribe, and Share for more AI, LLM, and software development tutorials. Topics Covered Google Gemini, Gemini AI, How Gemini Works, Large Language Model, LLM, Artificial Intelligence, Deep Learning, Transformer Architecture, Tokenization, Multimodal AI, Context Understanding, Next Token Prediction, Probability Prediction, Response Generation, Natural Language Processing, NLP, Machine Learning, Google AI, Gemini API, C#, .NET, AI for Beginners, Computer Science, Prompt Engineering, Generative AI, AI Tutorial, Software Development, AI Explained Hashtags #GoogleGemini #GeminiAI #ArtificialIntelligence #LLM #GenerativeAI #MachineLearning #DeepLearning #Transformer #Tokenization #NLP #MultimodalAI #PromptEngineering #GoogleAI #DotNet #CSharp #LearnITWithLakmal