LinkedIn Course - Productivity hacks with Miss Excel

Generative AI Training revolves around teaching models to generate text, images, or other content based on patterns and data. It begins with collecting and preprocessing large datasets relevant to the desired output. The AI model, often a neural network, learns through supervised or unsupervised training, optimizing parameters to recognize underlying patterns. Techniques like reinforcement learning, fine-tuning, and transfer learning are employed to enhance performance. Models like GPT use Transformer architectures for contextual understanding. Regular evaluation ensures accuracy, creativity, and ethical compliance. Proper training safeguards against bias and misuse, enabling generative AI to produce high-quality, innovative, and responsible outputs.