Great post about AI! #AI #MachineLearning #GenAI https://lnkd.in/dFnt4y2G
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AI Explained ! Here’s What’s Included :- 1. Artificial Intelligence (AI): Creating machines capable of intelligent behavior, including reasoning, learning, and perception. 2. Machine Learning (ML): Algorithms that allow computers to learn from data and make predictions. - Supervised Learning: Trains models on labeled data for tasks like classification. - Unsupervised Learning: Models identify patterns and relationships in unlabeled data, like clustering. - Reinforcement Learning: Agents learn by performing actions and receiving rewards or penalties. 3. Deep Learning: Utilizes multi-layered neural networks to model complex patterns in large datasets. 4. Deep Neural Networks (DNNs): Multi-layered networks essential for deep learning, modeling intricate patterns. 5. Neural Networks: Brain-inspired models used for pattern recognition and predictions in deep learning. 6. Generative AI: Creates new data similar to training data, using GANs and VAEs. 7. Transformer-Based Language Models: Specialized architectures for natural language processing, like ChatGPT. 8. Convolutional Neural Networks (CNNs): Recognizes images by detecting patterns, crucial for visual recognition tasks. [Explore more in the post]