Christian11
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AI agents are intelligent systems that autonomously perform tasks, make decisions, and interact with users or other systems. These agents use technologies like machine learning, natural language processing (NLP), and computer vision to process information and take actions.
AI agents typically follow a perception-action cycle, where they receive inputs (text, voice, images), process data using algorithms, and generate responses or actions. They can be reactive (responding to specific stimuli) or proactive (predicting and acting ahead). Examples include chatbots, virtual assistants, and automated trading systems.
Developers build AI agents using frameworks like OpenAI’s GPT, Google’s Dialogflow, and Microsoft’s Bot Framework. The success of an AI agent depends on the quality of training data, model optimization, and real-time learning capabilities.
SOURCE: https://www.inoru.com/ai-agent-development-company
AI agents typically follow a perception-action cycle, where they receive inputs (text, voice, images), process data using algorithms, and generate responses or actions. They can be reactive (responding to specific stimuli) or proactive (predicting and acting ahead). Examples include chatbots, virtual assistants, and automated trading systems.
Developers build AI agents using frameworks like OpenAI’s GPT, Google’s Dialogflow, and Microsoft’s Bot Framework. The success of an AI agent depends on the quality of training data, model optimization, and real-time learning capabilities.
SOURCE: https://www.inoru.com/ai-agent-development-company