Christian11
Member
AI agent development involves multiple components, including machine learning models, natural language processing (NLP), and decision-making algorithms. At the core, AI agents require:
SOURCE: https://www.inoru.com/ai-agent-development-company
- Perception Module: This component helps agents interpret data from the environment using computer vision, speech recognition, or textual data.
- Reasoning and Decision-Making Engine: The AI agent uses algorithms like reinforcement learning or rule-based logic to make decisions.
- Learning Capability: Through machine learning, agents improve their performance over time by learning from data.
- Interaction Module: It enables communication with users or other systems through APIs, text, or voice interfaces.
- Memory and Knowledge Base: Agents store information and retrieve it for context-aware interactions.
- Autonomous Execution: Advanced agents can perform tasks without human intervention by making autonomous decisions.
SOURCE: https://www.inoru.com/ai-agent-development-company