Description: Interactive Machine Learning is an innovative approach in the field of artificial intelligence that allows users to directly interact with AI models, providing real-time feedback to improve their performance. This process is based on the idea that collaboration between humans and machines can optimize the accuracy and relevance of the results generated by machine learning algorithms. Through intuitive interfaces, users can adjust parameters, correct errors, and offer suggestions, enabling the model to learn more effectively and adapt to the specific needs of users in various contexts. This approach not only enhances the quality of predictions but also fosters greater understanding and trust in automated decisions. In a world where personalization and adaptability are key, Interactive Machine Learning emerges as a powerful tool to maximize the potential of artificial intelligence across various applications, from customer service to education and beyond.
