AI agent development involves designing and programming autonomous systems that can perceive their environment, make decisions, and take actions to achieve specific goals. This includes building rule-based or machine learning-driven models, integrating natural language processing, reinforcement learning, and computer vision. AI agent development is used in robotics, virtual assistants, customer service, gaming, and automation. Development requires tools like Python, TensorFlow, OpenAI Gym, and frameworks such as ROS for robotics. Key challenges include decision-making, adaptability, and ethical considerations.
Sally Wangari
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Technology innovation if it secure, it really bringing growth and development in many areas access, monitor, evaluation and fast moving information.
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Technology innovation if it secure, it really bringing growth and development in many areas access, monitor, evaluation and fast moving information.