Ethical AI
Ethical AI is crucial in ensuring the development, deployment, and use of AI systems align with ethical principles. This involves ethical considerations in data collection, model training, decision-making, and overall system behavior to uphold moral standards and social responsibility.
Conversational AI
Conversational AI encompasses the technology enabling computers to engage in natural and human-like conversations with users. It involves understanding language, context, and user intent to provide personalized responses, automate interactions, and enhance user experiences through chatbots, virtual assistants, and voice assistants.
Artificial Intelligence (AI)
Artificial Intelligence, a rapidly evolving field of computer science, focuses on creating intelligent machines capable of performing tasks that typically require human intelligence. AI applications span various industries, from healthcare to finance, and involve algorithms, deep learning, and big data processing to simulate human cognitive functions.
Backpropagation
Backpropagation is a fundamental algorithm in generative AI that adjusts the connections between neurons in neural networks during training. It enables the network to learn from errors by propagating them backward through the network, updating weights to minimize prediction errors in tasks like image recognition and natural language processing.
Continuous Learning
Continuous learning in AI refers to systems that adapt and improve over time based on new data and experiences. It allows AI models to stay relevant and accurate in dynamic environments by integrating feedback, self-correction mechanisms, and incremental updates to enhance performance and adaptability.
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