AI agents

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?

Large Language Models	AI Agents
Large language models (LLMs) like GPT-3 and GPT-4 have the ability to only generate human-like text.	AI agents make interactions more natural and immersive with the help of voice, vision, and environmental sensors.
	AI agents are designed for instantaneous, real-time conversations with responses much similar to humans.
LLMs lack contextual awareness	AI agents can understand and learn from the context of interactions, allowing them to provide more relevant and personalised responses.
Language models do not have any autonomy since they only generate text output.	AI agents can perform complex tasks autonomously such as coding, data analysis, etc. When integrated with robotic systems, AI agents can even perform physical actions.

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.

Today Current Affairs Upsc Exam Syllabus & Previous Yearpaper.