Videos de AI Models
Videos etiquetados con "AI Models"
AI Models 2 videos
Google Gemini 3.5 Pro Explained | 2M Tokens, Deep Think & GPT-6 Comparison
Link to our newsletter: https://bitbiased.ai/ Google's Gemini 3.5 Pro is rumored to launch with a massive 2 million token context window, a new Deep Think reasoning mode, and significantly cheaper API pricing. But are these leaks actually as groundbreaking as everyone claims? In this video, we break down: ✅ Gemini 3.5 Pro leaks explained ✅ 2 Million Token Context Window ✅ Deep Think reasoning mode ✅ API pricing and why it matters ✅ Gemini 3.5 Pro vs GPT-6 ✅ Gemini 3.5 Pro vs Claude Fable 5.1 ✅ Google AI strategy in 2026 ✅ What actually deserves the hype Instead of repeating AI rumors, this video separates confirmed information from speculation and explains what Google's strategy could mean for developers, businesses, and AI enthusiasts. If you're following GPT-6, OpenAI, Google DeepMind, Anthropic, Claude, or the future of generative AI, this video is for you. Timestamps 00:00 Introduction 01:23 What's Actually Being Claimed 02:48 The Two Million Tokens Everyone's Chasing 04:54 The Price Is The Real Story 06:55 Deep Think & The Paywall 08:37 Gemini 3.5 Pro vs GPT-6 & Claude Fable 5.1 10:43 What Would Actually Earn The Hype 12:21 Final Thoughts Subscribe for weekly AI news, model comparisons, benchmark analysis, and practical insights. #Gemini35Pro #googleai #gpt6 #openai #artificialintelligence #deepthinking #ai #claude #googledeepmind #machinelearning
Neural Network - How it Works
Neural Network - How it Works 📲 For More Content like this, be sure to Subscribe to our channel! ✅Thanks For Watching: Neural Network - How it Works Here at Thinking Machines, we aim to create top-quality videos about artificial intelligence, machine learning, tech documentaries, AI controversies, big tech developments, robotics, automation, future concepts, and the science shaping tomorrow—covering everything happening in the world of technology and AI. Our goal is to help you understand how AI is changing the world, uncover the stories behind major tech revolutions, and explore the ideas, companies, and breakthroughs building our future. Neural networks learn to recognize patterns by adjusting millions of mathematical connections instead of relying on manually programmed rules. The video explains how raw input data, such as image pixels, flows through layers of neurons that detect increasingly complex features before producing a final prediction. It breaks down key concepts like weights, biases, activation functions, and training in a simple, intuitive way, showing how each component contributes to the network's learning process. You'll also discover why neural networks have become the foundation of modern AI applications, from image recognition and translation to speech processing and self-driving cars. By the end, you'll understand that the power of neural networks comes not from magic or human-like thinking, but from countless simple mathematical operations working together to uncover meaningful patterns. 💻For Business Inquiries, Collaborations or Promotions, contact us at: odedschannel1@gmail.com #neuralnetworks Networks, #artificialintelligence Intelligence, #AI, #machinelearning Learning, Deep Learning, How Neural Networks Work, Neural Network Explained, AI Explained, #aivideo for Beginners, Deep Learning Tutorial, #artificialintelligencetechnology Neural Network, ANN, Weights and Biases, Activation Functions, ReLU, Sigmoid Function, Hidden Layers, Input Layer, Output Layer, Pattern Recognition, Image Recognition, Handwritten Digit Recognition, Computer Vision, AI Training, Backpropagation, Neural Network Training, Parameters, AI Models, Mathematics of AI, Modern AI, Generative AI, Large Language Models, Deep Learning Fundamentals, Data Science, Computer Science, AI Technology, AI Education, #aigenerated Concepts, How AI Learns, Pattern Detection, Predictive Models, Educational Technology, Future of AI, Thinking Machines, Tech Explained, AI Tutorial, Neural Network Basics, Machine Intelligenc