About

• AI agents are sophisticated AI systems that can engage in real-time, multimodal (text, image, or voice) interactions with humans. 
• Unlike conventional language models, which solely work on text-based inputs and outputs, AI agents can process and respond to a wide variety of inputs including voice, images, and even input from their surroundings.
• AI agents perceive their environment via sensors, then process the information using algorithms or AI models, and subsequently, take actions.
• AI agents are quick when it comes to adapting to new situations. This facet makes them versatile and capable of handling a wide range of situations.
• Currently, they are used in fields such as gaming, robotics, virtual assistants, autonomous vehicles, etc.

How are  AI agents different from large language models?

Potential uses of AI agents

• Intelligent and highly capable assistants: They are capable of handling an array of tasks, from offering personalised recommendations to scheduling appointments. 
• Customer service: AI agents can offer seamless natural interactions, and resolve queries instantly without actually the need for human interventions.
• Education and training: AI agents can act as personal tutors, customise themselves based on a student’s learning styles, and may even offer a tailored set of instructions. 
• Healthcare: They could assist medical professionals by providing real-time analysis, diagnostic support, and even monitoring patients.

Risks and challenges

• While AI agents showcase immense potential for the future, they are not without risks. 
  • Privacy and security are a key area of concern as AI agents gain access to more personal data and environmental information. 
  • AI agents can carry forward biases from their training data or algorithms, leading to harmful outcomes. 

• As these systems become more common, appropriate regulations and governance frameworks should be laid out to ensure their responsible deployment.