Christian11
Member
AI agents make autonomous decisions by processing data, learning from past interactions, and applying decision-making algorithms. These agents use techniques such as reinforcement learning, where they receive rewards or penalties for their actions, helping them refine their strategies over time. Decision trees, neural networks, and probabilistic models like Bayesian inference are also commonly used.
For example, an AI customer service agent analyzes a user's query, identifies relevant responses from a knowledge base, and decides on the best answer based on confidence scores. These agents improve through continuous feedback, making them more efficient over time.
SOURCE: https://www.inoru.com/ai-agent-development-company
For example, an AI customer service agent analyzes a user's query, identifies relevant responses from a knowledge base, and decides on the best answer based on confidence scores. These agents improve through continuous feedback, making them more efficient over time.
SOURCE: https://www.inoru.com/ai-agent-development-company