AI Agents are software entities designed to perform a wide range of complex tasks autonomously, interact with human users, and adapt their behavior based on the context and user feedback.
Automating complex tasks that require human-like interaction and decision-making, reducing the need for manual intervention in various applications such as customer service, personal assistance, and home automation.
AI Agents leverage machine learning algorithms, natural language processing (NLP), and other AI techniques to understand user inputs, process information, make decisions, and execute tasks. They can learn from interactions over time, improving their performance and responsiveness.
Development through software engineering practices, including coding, testing, and deployment. No physical manufacturing involved.
Involves defining the problem, selecting appropriate algorithms and models, training the AI agent using data, integrating with user interfaces, and continuously testing and refining the system based on performance metrics and user feedback.
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