AI agent development refers to the creation of software agents equipped with artificial intelligence (AI) to autonomously perform tasks, make decisions, and interact with users or other systems. These agents can leverage machine learning (ML), natural language processing (NLP), and computer vision to enhance their abilities.
The development process includes defining the agent's tasks, designing a suitable architecture, and choosing the appropriate AI algorithms. For example, conversational agents or chatbots use NLP for understanding and responding to human language. Other types of AI agents, like autonomous vehicles, use computer vision to interpret their surroundings.
Key steps in AI agent development include data collection, training the models, integrating various AI techniques, testing, and continuous improvements based on feedback. Additionally, AI agents must be designed to adapt to new information and situations, a feature called adaptability or learning over time.
AI agents are widely used in applications ranging from customer service to healthcare and logistics. However, their development involves addressing challenges like ensuring ethical behavior, managing complexity, and improving their ability to interact naturally with humans.