Show Notes
Watch Video on YouTube Buckle up as I take you on an exciting journey into the world of ground truth data—the foundation that powers artificial intelligence to make sense of the world! In this video, we unpack everything you need to know about ground truth, from its critical role in training AI models to its real-world impact on technologies you interact with daily, like self-driving cars, voice assistants, and medical diagnostics. 🚗🗣️💉What exactly is ground truth, and why is it the gold standard for teaching AI to "think" like humans? We’ll explain how this carefully curated, real-world data acts as the ultimate reference point for machines. By the end, you’ll not only understand why ground truth is the unsung hero of the AI revolution.✅ Don’t forget to like, comment, and subscribe for more AI and machine learning insights.🎙️ From The Rest is AI – by Shreyas Shukla 💼 Find my latest AI courses on LinkedIn: https://www.linkedin.com/in/shreyas768/
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Watch Video on YouTube 🎙️ Welcome back to The Rest is AI!
Watch Video on YouTube : https://youtu.be/Kd5Wswjab9w How do neural networks actually learn? The answer lies in Backpropagation — a foundational algorithm that allows AI systems to improve and adapt.In this video, we’ll break down:1. What is Backpropagation in simple terms2. Key concepts like weights, biases, activation functions & forward propagation3. The role of the loss function and gradient descent4. Static vs. recurrent backpropagation5. Real-world applications in OCR, spam detection, sentiment analysis & more✅ Don’t forget to like, comment, and subscribe for more AI and machine learning insights.🎙️ From The Rest is AI – by Shreyas Shukla💼 Find my latest AI courses on LinkedIn: https://www.linkedin.com/in/shreyas768/🌐 Website: https://www.shreyshukla.com/🎵 Audiobooks on YouTube Music: Click Here#Backpropagation #NeuralNetworks #AIExplained #DeepLearning #MachineLearning #TheRestIsAI #GradientDescent #ArtificialIntelligence #TechForBeginners #MLAlgorithms #RecurrentNeuralNetworks #AIEducation
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Large Language Models (LLMs) are powerful but not perfect! They can be incredibly accurate—or totally wrong. In this episode, we explore Retrieval-Augmented Generation (RAG), a method that helps AI stay up-to-date and provide more reliable answers. 🧠💡📌 What you'll learn:✅ Why LLMs sometimes give incorrect responses✅ How retrieval-augmented models improve accuracy✅ The role of external knowledge sources in AI responsesIf you're curious about AI and how it evolves, this episode is for you! To know more about me and my content on AI :🔗 Connect with me on LinkedIn: https://www.linkedin.com/in/shreyas768/ 🌐 Visit my website: https://www.shreyshukla.com/